Max Robotics — Global Service Robot Directory + US Certification

About

Sourish Ghosh is a leading roboticist at the forefront of autonomous navigation for extreme environments, from the surface of Mars to shared airspace. His work centers on developing robust AI and perception systems that enable robots to operate safely and efficiently where failure is not an option. Ghosh’s most significant contribution is the **MAARS** framework (Machine learning-based Analytics for Automated Rover Systems), a JPL-led initiative with 29 citations that aims to bring cutting-edge self-driving technology to planetary rovers. He fundamentally advanced how robots perceive and plan, pioneering a **joint perception and planning** approach for obstacle avoidance using stereo vision (19 citations) that outperforms traditional sequential methods. To ensure safety on unpredictable terrain, Ghosh developed a **probabilistic kinematic state estimation** technique for motion planning (17 citations), addressing the computational challenges of collision detection critical for mission success. More recently, he has tackled the complex challenge of **manned-unmanned aircraft teaming** (6 citations), developing integrated systems for safe, seamless operation in shared airspace. Through his work at JPL, Ghosh is not just building smarter robots; he is engineering the trust and reliability needed for autonomous systems to explore new worlds and collaborate with humans in ours.