Papers
9
Total Citations
33
H-Index
4
About
Bohao Zhang is an emerging robotics researcher whose work sits at the intersection of motion planning, safety-critical control, and biomechanics-inspired robotics. His most significant contributions center on developing real-time, provably safe algorithms for robotic manipulators operating in dynamic, human-proximate environments. His "Serving Time" framework and the "Autonomous Robust Manipulation via Optimization with Uncertainty" (ARMOUR) series tackle one of robotics' hardest open problems: guaranteeing collision avoidance, joint-limit compliance, and robustness to inertial uncertainty simultaneously, all within real-time computational budgets — work that has already attracted over a dozen citations across multiple venues. Zhang also demonstrates impressive breadth: his investigation into jointed tails as inertial appendages for three-dimensional body rotation bridges animal biomechanics and robot morphology design, earning five citations shortly after publication. More recently, he has explored conformal prediction for reachable-set-based obstacle avoidance, pseudospectral trajectory optimization, online system identification with safety guarantees, and emotion-aware gesture generation for human-robot interaction. With a cumulative citation count approaching 35 across fewer than five years of publishing, Zhang represents a versatile and rapidly maturing voice in safe autonomy and robot motion planning research.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Jointed tails enhance control of three-dimensional body rotation5 citations · 2025
- 4
- 5Conformalized Reachable Sets for Obstacle Avoidance with Spheres3 citations · 2025
- 6Reachable Sets for Safe, Real-Time Manipulator Trajectory Design3 citations · 2020
- 7
- 8Provably-Safe, Online System Identification1 citations · 2025
- 9