Binghan He

Papers

Total Citations

H-Index

About

Binghan He’s research lies at the intersection of motion planning, control theory, and human-robot interaction, with a focus on ensuring safety and performance in complex autonomous systems. His most impactful work introduces the Barrier Pair method, a novel framework for synthesizing controllers that satisfy temporal logic specifications for nonlinear systems—such as robots navigating constrained environments—while avoiding non-convex optimization pitfalls. This work, published in 2020, has garnered 10 citations and represents a key contribution to safe motion planning. He further extends these ideas to shared autonomy, proposing a barrier pair approach that guarantees safety even when human operators introduce unpredictable inputs, a critical challenge in human-robot collaboration. His biologically-inspired impedance control with hysteretic damping, also from 2020, draws on human joint dynamics to improve robot compliance, earning 6 citations. Earlier, He contributed to cloud-based teleoperation, enabling web-based control of humanoid robots through the Cloud-based Advanced Robotics Laboratory (CARL). With a growing citation record and a focus on rigorous, safety-critical solutions, He’s work is shaping how robots can operate reliably alongside humans in real-world settings.