Robotics Lab (Education-Research-Demonstration)
Our Robotic Solutions
Research
- Adaptive Control
- Model Based Control
- Digital Twinning
- Cobotics
- Deep Learning
- Reinforcement Learning
- Dynamics Effects
- SLAM and Navigation
- Visual Servoing
- Trajectory Generation
- Singularity Identification
- Singularity Avoidance
- Humanoid Robotics
- Path Planning
- Kalman Filtering
- Linear and Nonlinear Control
- Aerial Robotics
- Principles of Locomotion
World over Robots, AI and automation are transforming every profession, and as progressive academic institutions and researchers – our responsibility is to prepare our students for their future. Many institutions have already made the commitment to make their students future-ready with teaching and infra required to develop skills to consult & design, program , develop, operate, service and support a robotic automation driven ecosystem.
Robotic labs and CoE with introduction of Robotics into core engineering and vocational subjects enable students and researchers with an easy access into the emerging fields of mechatronics & robotics, IIOT, Cyber Physical Systems, AI & ML, programming and coding, EV and autonomous vehicles. Their physical presence engages learners of all ages.
EDUTECH provides world class Robotic solutions with local support for academic teaching and research. Starting from entry level DIY STEM Robotics to advanced platforms to validate and apply your teaching and research concepts. All our solutions come with ready to use content, curriculum modules and training that help you align your teaching and research objectives.
Whether you are researching advanced algorithms or require state of the art technology to teach the next generation of robotics engineers, Edutech offers wide array of Physical and Digital Robotic platforms for academic teaching and research starting with entry level DIY kits to advanced Mobile, Manipulator and Industrial robotic platforms.
Robotics Career Outlook
Robot Automation Design Engineer
Software Engineer
Robotics System Engineer
User Experience (UX) Designer.
Data Scientist
AI & ML Engineers
Algorithm Engineers
Robotics Operation Engineers
Robotics Service Engineers
RPA Engineers
Application Engineers
Robotics Test Engineers
Edutech Robotic Labs for Teaching & Research
Robotics Lab for Education & Enterprise Research
Robotics HW & Systems + Curriculum & Projects + Local service & Support
DIY Robotics
Manipulator Robot
Autonomous Vehicles
Humanoid & Quadruped Robot
Self-Driving Car
Industry 4.0 Smart Factory with AI
Industrial Robot for Education
Virtual Robotics
DIY Robotics
World class DIY Robotics for H’Ed from LEGO Education
Robotics fundamentals – Industry use case models – LEGO Robotics for CSR & Employee Engagement
LEGO® Mindstorms Robots was born out of a collaboration between MIT USA and the LEGO® Group. LEGO is used to teach fundamentals of robotics, control, mechatronics, computer science, AI, Industry 4.0, IoT and 21st century skills through computational thinking and interdisciplinary Engineering Concepts. We also create custom industrial models built with LEGO bricks, sensors, and industrial use cases with working automatic scale models for trade shows, simulation and marketing events.
TETRIX PRIME and EV3
TETRIX PRIME set to your LEGO® MINDSTORMS® EV3 set to build bigger and more complex robots & real-life engineering projects and applications
TETRIX Robots for Engineering
- 50 years in Hands-On education
- Quality Hardware – Content & Curriculum
- International Robotics Challenges
- Robotics & 21st Century Skills
- 3 million students are exposed to Pitsco & TETRIX products annually
Build Your Own AI Based Motion Capture System
OptiTrack real-time tracking systems are the world’s choice for low latency, precision 6DoF tracking for ground and aerial robotics (UAV’s). We produce the most precise and easy to use indoor and outdoor positioning systems for input into all the major AI Based control system.
Agricultural Harvesting Robot
Here this Industrial Robot arm system combined with computer vision and a vacuum end-effector to select and pick ripe fruit, transferring it into a bin.
Subjects covered:
Computer Vision, Drone Technology, Autonomous Robotics, Decision making, Kinematics, Mapping.
What’s included?
A typical AI Station includes robotic arms, soft grippers, IoT devices computers and software to program it, curriculum and accessories.
Arduino vs. Raspberry Pi for Robotics
If you’re trying to decide whether to use an Arduino vs. Raspberry Pi for robotics, you’ll want to first consider your level of programming and electronics ability. Edutech can help understand your requirements and oer the right solutions from its Arduino or Raspberry Pi modules.
Desktop Humanoid Robot
Robot with Speech Recognition, Vision Tracking and Artificial Intelligence for Human Interactions
Used by STEM Educators in over 90 countries! Easy and powerful enough for universities and real world applications. Advanced users have made life-sized humanoid robots, submarine robots, snow-shovelling robots and more. Coupled with ARC software, users can easily program advanced features like Speech Recognition, Vision Tracking and Artificial Intelligence using Microsoft’s Cognitive Services. It fosters lifelong learning with real world applications for solving real world problems.
Manipulator Robot for Teaching & Research
Humanoid Robot
The collaborative & open-source robot designed for Education & Research
- Reproduce advanced industrial processes using its 6 axis and test many uses oriented towards industry 4.0.
- Based on open-source technologies, Ned integrates a Raspberry Pi 4 making it reactive and versatile.
- Made in France
VISION SET
- Use image recognition to interact with objects according to their shape and color.
- Experience Vision with Blockly, or use Python and OpenCV to create your own image processing and artificial intelligence pipelines.
CONVEYOR BELT
- Easily prototype production lines with different versions of the Conveyor Belt are available to fit your projects.
ROS based AI Vision Humanoid Robot Powered by Raspberry Pi
4B Biped Inverse Kinematics Algorithm Learning Teaching Kit
Our ROS based Humanoid is an intelligent humanoid robot built on the Robot Operating System (ROS). It boasts 24 degrees of freedom (DOF) and is powered by a Raspberry Pi. With self-stabilizing inverse kinematics, It excels in walking, climbing, hurdling, grasping, and performing complex movements. Furthermore, its height, turning radius, and speed can be adjusted! Equipped with a 2DOF AI vision camera and robotic hands that can open or close, It can accomplish tasks like line following, target tracking, ball shooting, intelligent picking and sorting, transportation, stair climbing, and more, using AI vision and advanced kinematics. We offer comprehensive ROS source code and detailed tutorials to bring your AI scenarios to life.
Desktop Robotic Arm – DOBOT – Intelligent Training Robot Industrial Accuracy and Stability
DOBOT Magician is a multifunctional desktop robotic arm for practical training education. Installed with different end tools, DOBOT Magician can realize interesting functions such as 3D printing, laser engraving, writing, and drawing. It supports secondary development with 13 extensible interfaces and over 20 programming languages, which really makes your creativity and imagination increase without any limitations.
Underwater Robot
71% of the world is covered by water. Explore new frontiers with the X3 from Blueye Robotics! The ROV provides you with endless possibilities. 3 Guest Ports enable the integration of different external equipment. The BlueyeX3 ROV can be equipped with a variety of sensors, manipulators, sonars, and positioning systems.
COBOT with ROS compatibility for Education
Our collaborative robots are applied for integrated automatic production lines, assembly, pickup, welding, grinding, painting, etc. Four different payloads 3,5,10 and 15 kg,. Open source ROS interface allows users to control robot joints in real-time via EtherCAT under ROS. With the ROS platform, the robot’s scalability is greatly improved.
QArm – Modern manipulator arm for robotics courses and research
Quanser’s QArm is a 4 DOF robotic serial manipulator with a tendon-based two-stage gripper and an RGBD camera, designed for modern engineering education and academic research applications. Leveraging the intuitive graphical interface of Simulink® or the expandability of Python™ and ROS, students get a systematic understanding of the design of robotic systems and concepts, including joint control, kinematics, path planning, statics, and dynamics. QArm comes with comprehensive studio-type course resources to motivate students and provide the basis for interactive challenges.
Omni Bundle – Telepresence systems & HD² High Definition Haptic Device
The Omni™ Bundle, Telepresence system, and HD2 High Denition Haptic devices are effective and safe ways to introduce intermediate to advanced control concepts and theories related to robotics and haptics. Combining Geomagic Touch™ (formerly Sensable Phantom Omni) haptic device with QUARC® control software and a comprehensive Quanser-developed curriculum allows students to easily translate course theory into hands-on experience.
High-Performance Autonomous Ground Robot for Indoor Labs
QBot - Warehouse Mobile Robot - High-performance Autonomous Ground Robot for Indoor Labs
The Quanser QBot is an innovative open-architecture autonomous ground robot, built on a 2-wheel mobile platform. Equipped with built-in sensors, a vision system, and accompanied by extensive courseware, the QBot is ideally suited for teaching undergraduate and advanced robotics and mechatronics courses. The courseware laboratory exercises are organized in a set of independent modules, allowing professors to select and adapt them easily for an existing course, or build a new course.
QDrone – High-performance drone for indoor labs
The Quanser QDrone 2 autonomous air vehicle is a midsized quadrotor equipped with a powerful on-board NVIDIA Jetson Xavier NX system-on-module (SOM), multiple high resolution cameras and built-in WiFi. This open-architecture research-grade drone is tuned to accelerate your innovation in multi-agent, swarm, artificial intelligence, machine learning, and vision-based applications.
Self-Driving Car for Teaching & Research
QCar – Sensor-rich autonomous vehicle for self-driving applications
QCar, the feature vehicle of the Self-Driving Car Research Studio, is an open-architecture, scaled vehicle designed for academic research. It is equipped with a wide range of sensors including LIDAR, 360-degree vision, depth sensor, IMU, encoders, as well as user-expandable IO. The vehicle is powered by an NVIDIA® Jetson™ TX2 supercomputer that gives you exceptional speed and power efficiency. Working individually or in a fleet, QCar is the ideal vehicle for validating your research concepts such as dataset generation, mapping, navigation, machine learning, artificial intelligence, and many more.
Coding & Computing Zone – Python Programming and Artificial Intelligence applied to Self-Driving Car Applications
Learn
Hands-on, project-based learning to master Python Programming and AI fundamentals.
Code
Text-based Python Programming to start driving your self-driving car on day one.
Drive
Program sophisticated self-driving cars wirelessly to respond across various real-world scenarios.
Humanoid Robot for Teaching & Research
NAO Humanoid Robot
NAO is the first robot created by SoftBank Robotics. Famous around the world, NAO is a tremendous programming tool and he has especially become a standard in education and research. NAO is also used as an assistant by companies and healthcare centers to welcome, inform and entertain visitors.
Pepper Robot – A robot designed to interact with humans.
Designed to be used in professional environments, and integrate into them as naturally as possible, Pepper is an attractive and endearing humanoid robot. A genuine link between physical and online channels, Pepper offers a rich experience with real added value in a physical location.
Features
– 20 degrees of freedom for natural and expressive movements.
– Speech recognition and dialogue available in 15 languages*
– Perception modules to recognize and interact with the person talking to him.
– Touch sensors, LEDs, and microphones for multimodal interactions.
– Infrared sensors, bumpers, an inertial unit, 2D and 3D cameras, and sonars for omnidirectional and autonomous navigation.
– Open and fully programmable platform.
Quadruped Robot
Inspection & Surveillance Robots, for the Energy, Utility & Services industry
Meanwhile, our authorized surveillance & intelligent Inspection Robot dog models can be applied by factories, parks, substations, law enforcement agencies, urban underground pipe corridors, and other important places, through routine inspections and designated inspections in the above areas, to obtain environmental information and identification information of sensing equipment. Robot dogs are based on advanced control algorithms, it has multiple motion modes such as walking, sliding, jumping, running, and back somersault.
Industrial Automation & Robotics
Computer Integrated Manufacturing System
CIM (Computer Integrated Manufacturing System) is designed to provide hands-on experience on the latest manufacturing technology to participants. There are two options/layouts from which customers can choose their optimum system.
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- Individual machines/equipment such as CNC Turning Center, CNC Milling Center, Industrial 6 Axes Robot, Automated Guided Vehicle, Gantry, PLC, HMI, SCADA, ASRS, 3D Factory design, and Simulation software can be used by First year as well as second-year students.
- The entire system in integrated mode can be operated by third years / last-year students.
Industrial Robotics Workcell
Robotic training cells start from basic robotic applications such as handling, welding, etc, and reach up to a completely automated SCADA-based robotic integration process with welding and handling robots working in collaboration with each other.
Different available robotic cells are as follow:
– Robotic Cell – Handling (Pick and place)
– Robotic Cell – Welding
– Integrated Robotic Cell – Welding with Handling (Pick and Place)
Welding Tool with Simulation and Hardware for Cobots
We enable your experiences in the way your robot works with you. Detail and focus should never be lost in translation between human and machine. It should flow naturally.
With SmoothTool it’s possible to transfer your professional welding skills to collaborative robots. In a smooth, easy, and fast way you can “show and tell” a welding robot how you want the perfect result without doing any programming.
Agile Production Simulation | Industry and Higher Education
Cost-Effective Industry 4.0 PLC package
State-of-the-art Robotics Sets for College and University level include the Training Factory Industry 4.0 with PLC – A modular and mobile training, simulation, and demonstration model for Industry 4.0 applications which, on a small scale, shows the complete process sequences of real production. ROBOTICS TXT Controller – Education – Measure, control, and regulate with the TXT Controller and Robotics Sensor Station IoT Set oers Professional introduction to data logging, Robotics in Industry module oer Measure, control, and regulate functions with a focus on industrial applications
Industry 4.0 Smart Factory with AI
Agile Production Simulation
Realistic representation of the diversity of complex production processes in a simulation model. Overview of the factory modules.
Incoming and outgoing goods
This is where the material flow of a workpiece begins and ends. The raw material is delivered at the goods receipt, positioned on the color sensor for quality control using the 6-axis robot with vacuum gripper, and then encoded on the NFC reader. The robot then places the workpiece on the AGV for further transport. The module also contains the central control unit (Raspberry Pi) and the environmental sensor, which measures the different environmental conditions in the factory.
High-bay warehouse
The next stop for a workpiece after goods receipt is usually the high-bay warehouse. It contains nine slots for workpieces, a stacker crane, and a vacuum gripper that picks up the workpiece from the AGV at the docking station and hands it over to the stacker crane for storage. The workpiece is placed in a workpiece carrier for storage. Retrieval is done according to the FIFO principle.
Drilling station
The drilling station consists of a docking station for the AGV, a vacuum gripper that places the workpiece onto a conveyor belt, from where it is transported under the drilling head. After the simulated drilling process, the workpiece is transported back to the gripper on the conveyor belt. The gripper then places it back onto the AGV.
Milling station
The milling station consists of a docking station for the AGV and a vacuum gripper that places the workpiece onto a conveyor belt, from where it is transported under the milling machine. There, the milling of two pockets is simulated. After the process, the workpiece is placed back onto the conveyor belt and transported back to the gripper. The gripper then places it back onto the automated guided vehicle.
Quality Assurance with AI
In the Quality Assurance module, a vacuum gripper places the workpiece on a conveyor belt. It is transported underneath the camera and scanned there. The workpieces, which come in three different colors (white, red, blue), with three machining features (drilling, milling, drilling & milling), as well as various fault patterns, are classified using the trained AI. Depending on the color, feature and fault pattern, the workpieces are then either placed back onto the AGV as “okay“ or sent to the reject container as “not okay“.
Automated guided vehicles (AGV)
The AGV transports the workpieces from one module to another. It is a track-bound vehicle that follows the printed black tracks. It uses ultrasonic sensors to detect obstacles. The vehicle has omni wheels, which allow it to move in all directions. Two buttons and a phototransistor help the vehicle dock to individual factory modules. The AGV receives its driving commands from the central control unit (Industrial standard VDE 5050). It uses a fischertechnik rechargeable battery pack 8.4V 1800mAh as its power supply.
Charging station
When the battery of the AGV runs low, it navigates towards the charging dock, where it is automatically charged with a charger with -ΔU charge monitoring. Contacts on the bottom of the charging station connect the AGV with the charging electronics.
Virtual Robotics
Quanser QLabs Robotics
Offers fully instrumented and dynamically accurate digital twins of Quanser physical systems such as Qbot 2e ground robot and QArm robotic manipulator. These digital twins look, behave, and can be measured and controlled using MATLAB/Simulink and other platforms exactly as the real systems would be.
Quanser Digital Experiences
A cutting-edge approach to content, lab management, and distribution
– In the lab, lecture hall, and living room. Online and online
– Desktop, laptop, and mobile devices
– Solutions specically designed for the needs of various courses and activities
QArm
– 4 DOF manipulator + two-stage gripper
– Designed for modern robotics education
– Intel RealSense D415 RGBD camera
– 1 kg payload
– 90-180°/s / 750mm reach
– Joint position, velocity, current, etc.
– Complete curriculum mapped to both Spong and Craig
Qbot 2e
– Open-architecture autonomous ground robot
– Wide range of sensors
– Bump sensor
– Wheel drop sensor
– Cli sensor
– 3-axis gyroscope
– RGBD vision system
– Robust and versatile
Virtual Labs is the only hardware-inspired, scalable way to bring credible, high-fidelity interactive lab experiences to students.
With our Interactive Labs, you get a collection of virtual hardware-based laboratory activities that supplement traditional or online courses. The virtual hardware is based on Quanser physical systems and offers credible, academically appropriate experiences on desktops, laptops, or smart devices.
Sensors and Actuators
A critical component of any mechatronics course or program is an understanding of the theory and application of sensors and actuators used in mechatronic systems. It introduces students to various sensors that measure pressure, strain, temperature, contact, distance, angular displacement, and dynamics, exposes students to industry-grade measurement and command fundamentals for the four most common actuator types: brushed DC motors, brushless DC motors, stepper motors, and servo motors.
Take your program to new heights
Edutech offers a unique line of products designed explicitly to introduce undergraduate and graduate students to the core dynamic, control, and mechatronic challenges of modern robotic systems.
Reconfigurable Dual-Rotor Dynamics Experiment for Controls Education and Research
The Aero 2 is capable of abstracting a variety of aerospace systems, such as half-quadrotor, 1-DOF VTOL, and 2-DOF helicopter.
3 DOF Gyroscope
The principles demonstrated by the Quanser 3 DOF Gyroscope are relevant in technologies used to control orientation in sea, air and space vehicles. Extensive applications of the 3 DOF Gyroscope include altitude control, momentum wheel control, navigation, and satellite orientation and auto-pilot systems. Furthermore, gyroscopic sensors are now found in a wide range of technical devices such as smartphones, tablets, video game controllers, and so on. Your students can cultivate a deep understanding of control theories through real-life applications.
3 DOF Helicopter
Advanced light dynamics concepts by extending control to three axes (travel, yaw and pitch) The 3 DOF Helicopter experiment provides a benchtop model of a Tandem rotor helicopter. It can be used to understand and develop control laws for a vehicle that has dynamics representative of a dual rotor rigid body helicopter, or any device with similar dynamics.
3 DOF Hover
Flight dynamics and control of vertical lift-o vehicles The 3 DOF Hover experiment provides an economical test bed to understand and develop control laws for light dynamics and control of vehicles with vertical lift-off. The 3 DOF Hover consists of a planar round frame with four propellers. The frame is mounted on a three-degrees-of-freedom pivot joint that enables the body to rotate about the roll, pitch, and yaw axes. The propellers are driven by four DC motors that are mounted at the vertices of the frame. The propellers generate a lift force that can be used to directly control the pitch and roll angles. Two of the propellers are counter-rotating, so that the total torque in the system is balanced when the thrust of the four propellers is approximately equal.
Integrate Gen AI-Based Interactive Avatars and Middleware into your Robots
Generative AI is a category of AI Algorithms that produce new outputs based upon the data they have been trained upon and the feedback that came from the earlier outputs. Generative AI produces new content in the form of audio, text, video, images and more..
Edutech offers a multi-Robots Platforms and interactive avatars with smart displays using Generative AI, to orchestrate physical robots and digital avatars to interact with humans in real-life environments. Connect all your robots and avatars to create astonishing customer experiences customized for your process and business.
Additive Manufacturing
The EZ-InMoov Robot head is loaded with features and advanced AI capabilities, making it an incredible platform for CAI Research & education
HAVE A CONVERSATION WITH A.I with our Robot Head
It’s a 3D printable robot head, that can use world class A.I. like ChatGPT, PandoraBot and Microsoft’s Cognitive Services! Add in Speech Recognition, and have a conversation with an A.I. Ask it questions and have it answer back. The Robot Head is powered by a Smart Robot Controller and you can program it to recognize colors, faces, objects, QR codes and more!
Mobile Robots For Advanced Research & Development
- Mobile Manipulation
- Autonomous Systems
- Human-Robot Interaction
- Multi-Robot Systems
Jackal Unmanned Ground Vehicle
- Ready To Go Right Out Of The Box
- Made For The Great Outdoors
- Small Size, Big Capability
Hucky Unmanned Ground Vehicle
- Engineered For The Great Outdoors
- Built Upon Industry Trusted Software
- Designed For Rapid Customization
Are you looking for a way to engage your students and ignite their passion
Originating at MIT, Duckietown is a platform for delivering cutting-edge robotics and AI learning experiences. From hands-on activities to accessible research tools, we empower individuals of all ages and skill levels to explore the exciting world of robotics and artificial intelligence. Duckietown has many components that work together to provide joyful learning experiences.
Duckietown for Teaching
The Duckietown platform was designed as part of a university AI/robotics curriculum. It has been used in prestigious universities, such as MIT, ETH Zürich, Université de Montréal, and many more. Duckietown offers a “class-in-a-box” that comprises lectures, exercises, and theory that combine with the physical robot platform to reinforce the core concepts. you can build your own robot, follow along with our lectures and interact with a global community of learners.
Duckietown for Research
The Duckietown platform has also been used extensively for research on mobile robotics and physically embodied AI systems, with Autolabs providing accessible means for reproducible research. You might be interested in the papers about Duckietown, and learning about the AI Driving Olympics.
Duckietown for Makademics
Makademics (makers + academics) are people who want to learn and build on their own and also want a deep understanding of how things are working. We want to allow everybody to learn AI and robotics even if they are not at elite institutions like MIT and ETH Zürich. With Duckietown you can build your own robot, follow along with our lectures and interact with a global community of learners.
Open Robot Platforms for Services
We have delivery robot and disinfection robot, which have been widely used in extensive scenarios, including restaurants, hotels, office buildings, hospitals, factories and warehouses in more than 50 countries.
Smart Catering
Challenges:
- High Labor Cost along with Difficulties in Recruiting and Training
- Low Table Turn Frequency in Food Delivery and Dish Returning
- Insufficient Loading Capacity for One Time Service
- Lack of Improvement for Customer Experience
Smart Retail
Challenges:
- Intense industry competition
- Ever-changing business and consumers
- New retail marketing to attract and retain consumers
- Paradigm shift in consumer behaviors and experience requirement
- High operation cost
– Need for digital transformation and efficiency boost
Smart Manufacture
Challenges:
- High Labor Cost along with Difficulties in Recruiting and Training
- High Retrofit Cost
- Insufficient Loading Capacity for One Time Delivery
- Need for Digital Transformation and Efficiency Boost
Few Case Studies
ABB Robotic Workstation installed at MIT Chrompet Chennai for Pick and Place and Welding Application
Autonomous Vehicle Research Studio at IIIT Bangalore for exploring advanced engineering design and application concepts in Machine Intelligence and Robotics.
Mechanical Engineering Department in NIT Calicut is using Qbot2e in their Interdisciplinary Robotics Lab, where Velocity Control algorithm was developed for Qbot2e as part of research activity. It is been used in various research activities such as Path planning and Image processing.
Bennette University is using NAO humanoid robot in Computer Science Engineering department for Programming on AI and ML. It is been used in various Robotics applications in Institutes such as IIT Kharagpur, IIT Guwahati, NIT Calicut and so on. And also used in DRDO for research activities and Science city in Innovation labs.