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About

Arjun Krishna is a robotics researcher advancing the frontier of human-robot collaboration, assistive technology, and safe autonomous learning. His work spans three critical areas: developing athletic mobile manipulators for inclusive sports, studying the dynamics of rapid human-robot teamwork, and ensuring safety in learning from demonstration (LfD) algorithms. In his highly cited 2023 paper on an *Athletic Mobile Manipulator System for Robotic Wheelchair Tennis*, Krishna engineered a robot capable of playing competitive tennis, demonstrating how robotics can restore participation in quintessentially human athletic expression. His parallel study on *The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration* (also 16 citations) investigates how robot agility and safety concerns reshape team dynamics, providing foundational insights for deploying high-speed robots alongside humans. Most recently, his 2024 work on *Enhancing Safety in LfD via Control Barrier Function Shielding* addresses a critical gap: enabling non-roboticist users to teach robots new tasks without compromising safety. By integrating control barrier functions, Krishna’s approach allows end-users to customize robot behavior while guaranteeing collision-free operation. With over 37 citations across these contributions, Arjun Krishna is shaping a future where robots are both capable teammates and safe, accessible tools for everyone.