Welcome! I'm Trushant Adeshara, a passionate Robotics Researcher and current M.S. student in Robotics at the University of Michigan.

My ongoing research focuses on multi-robot systems, parallel computing, hardware acceleration, and, additive manufacturing. In Professor Dimitra Panagou's Distributed Aerospace Systems and Control (DASC) Lab, I am developing simulation stack for heterogeneous exploration with Isaac Sim, integrating Isaac ROS Nvblox for voxel-based mapping and path planning. Recently, I started incorporating certifiability guarantees into visual odometry and mapping to ensure safe and reliable trajectory generation in dynamic environments, bridging simulations with real-world applications.

At Wastefull Insights, I developed system and software architecture for gantry-based pick-and-place waste segregation robots. I integrated YOLOv7 and DeepStream into a ROS-based system, doubling throughput with improved scheduling algorithms and built a CI/CD pipeline that reduced deployment times by over 70%.

During my undergraduate studies in Computer Science and Engineering, I interned at Botsync, where I conducted accuracy tests on mobile robots for docking and migrated code from Python to C++. I also worked on multi-robot behavioral graph in Open-RMF, enabling collision-free task execution for mobile robots.

Feel free to explore my work and reach out if you'd like to collaborate or learn more about my experiences!

Highlights