Papers
3
Total Citations
91
H-Index
3
About
T. Brandt is a robotics researcher whose work focuses on the fundamental challenge of enabling natural and efficient physical interaction between humans and robots. Their key research areas include human-robot joint action, inverse kinematics for redundant manipulators, and safe motion planning for robotic systems. Brandt’s most impactful contribution is the 2010 paper “Interacting in time and space: Investigating human-human and human-robot joint action,” which has garnered 78 citations and establishes a benchmark for evaluating robot interaction performance against the gold standard of human-human interaction. This work highlights the persistent gap between current robotic capabilities and the seamless coordination we experience daily. In earlier foundational work, Brandt proposed a linear optimization approach to inverse kinematics (2008, 10 citations) that reformulates the problem for redundant robots as a linear programming task, enabling explicit consideration of manipulability. Most recently, Brandt has advanced safe motion planning by extending invariant-set motion planners to address nonlinear dynamics and non-convex collision avoidance constraints (2023). This ongoing research promises to make autonomous robotic manipulation both safer and more capable in complex, real-world environments.
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