Applied research in Physical AI.
How robots perceive, learn and act in the real world. We work on it ourselves, and open our hardware to researchers and startups who need it.
Where we work.
Reinforcement & imitation learning
Training locomotion and manipulation policies, and transferring them from simulation to hardware.
Teleoperation & data
Operator-in-the-loop control and the collection of real-world manipulation data.
Computer vision
Spatial perception, tracking and scene understanding for robots in unstructured spaces.
Simulation
Gazebo and Isaac Sim environments matched to physical test conditions.
Our team’s background includes IEEE-published work in computer vision. Publications from ISSR Labs will be listed here as they are released.
Use the hardware without buying it.
Research grants usually cover operating costs, not capital equipment. Lab access is billed as a service, so it fits the budget you already have.
Researchers
Hardware validation for theses and funded projects, through departmental retainers.
Hardware founders
Resident passes with bench space, compute and scheduled humanoid testing hours.
Corporate R&D
Supervised hourly or daily sessions to test feasibility before committing to automation.
An open Physical AI testing campus.
Planned for Visakhapatnam: a multi-domain campus where cohorts, researchers and companies test robots under real conditions. Open, netted test zones, with one compact academic block.
- Two parallel humanoid test bays
- Outdoor terrain yard: gravel, sand, pavers, slope
- Collaborative robot and industrial-arm cells
- Netted UAV flight cage and control room
- Academic block and compute hub
Research partnerships and lab access.
Tell us about your project, the hardware time you need and your timeline. We reply within one working day.
