Max Robotics — Global Service Robot Directory + US Certification

About

Rohan Baijal is a robotics researcher whose work spans the critical intersection of robot manipulation, autonomous navigation, and safe human-robot interaction. His most impactful contribution is **DROID**, a large-scale in-the-wild robot manipulation dataset (108 citations), which provides diverse, real-world data to train more robust manipulation policies—a foundational resource for the field. Baijal also tackles the challenge of close-proximity operations in shared airspace, proposing integrated systems for safe manned-unmanned aircraft teaming that enable mutual learning between human and robot teammates. His work on **SoRTS (Social Robot Tree Search)** introduces learned tree search algorithms for long-horizon social robot navigation, allowing autonomous agents to safely and seamlessly navigate crowded, dynamic environments. Additionally, he addresses off-road autonomous driving with multi-sample long-range path planning under sensing uncertainty, enabling reliable replanning in unobserved terrain. With a focus on trustworthy, socially-aware autonomy, Baijal’s research is shaping the next generation of robots that can operate safely alongside humans in complex, real-world settings.