TRS-DSAI 2026Hands-on Experience
Three dedicated industrial sessions in LP-109, TIET, Patiala · October 30 – 31, 2026
Practical Training with Industry Leaders
Alongside the keynote talks and technical sessions, three premier industry partners conduct specialized, laboratory-grade hands-on workshops. These sessions equip participants with practical skills in model-based robotics design, biomechanical surface EMG sensing, and automated computer vision pipelines.
MathWorks
MATLAB & Simulink for Robotics, Autonomous Systems & Controls
MathWorks develops MATLAB and Simulink, world-leading platforms for mathematical computing, simulation, and model-based design in robotics. This intensive masterclass provides practical training on modeling robotic manipulators, autonomous navigation algorithms, sensor fusion, and deploying control code to real-world embedded hardware.
Key Hands-on Topics:
- ✓Robotics System Toolbox & Simulink modeling
- ✓Autonomous trajectory generation & control
- ✓Hardware-in-the-loop (HIL) simulation
- ✓Automated C/C++ code generation for controllers
Noraxon
Biomechanics, Surface EMG & Human-Robot Interaction
Noraxon produces research-grade hardware and software solutions for biomechanics, high-density surface electromyography (EMG), and motion capture analysis. This hands-on session demonstrates live acquisition of muscle activity, kinematic analysis of human movement, and how biological telemetry interfaces with rehabilitation robotics and assistive exoskeletons.
Key Hands-on Topics:
- ✓Wireless surface EMG signal capture & processing
- ✓Kinematic & kinetic motion analysis
- ✓Bio-signal integration with robotic controllers
- ✓Applications in rehabilitation & assistive robotics
Labellerr AI
Computer Vision Data Pipelines & AI Model Training for Robotics
Labellerr AI builds an automated training data pipeline platform that accelerates computer vision model development. In this interactive workshop, participants learn how to automate data annotation, curate high-fidelity datasets, and fine-tune computer vision models designed for robotic perception, object detection, and autonomous navigation.
Key Hands-on Topics:
- ✓Automated image & video annotation pipelines
- ✓Dataset curation & active learning workflows
- ✓Fine-tuning object detection models for robots
- ✓Model deployment and performance validation
Participant Preparation & Logistics
All hands-on masterclasses take place in Workshop Lab LP-109. Participants are encouraged to bring their laptops. Any required software trials, datasets, and starter code will be shared at the start of each session.
Ready to attend the hands-on masterclasses?
Registration extended till 26th October, 2026