Papers
7
Total Citations
295
H-Index
7
About
Baptiste Busch is a leading researcher in human-robot interaction, with a focus on making collaborative robots safer, more intuitive, and ergonomically beneficial for human workers. His work centers on optimizing robot motion and task planning to improve human posture, legibility, and intention prediction during shared tasks. Busch’s most cited paper (80 citations) introduces postural optimization for ergonomic human-robot interaction, using personalized human models to enhance worker comfort and safety. He further advanced the field by framing collaboration as a combined task and motion planning problem that explicitly accounts for ergonomic cost and synchrony (41 citations). His research on learning legible motion from human-robot interactions (47 citations) and facilitating intention prediction through optimized robot behaviors (38 citations) has been instrumental in enabling implicit coordination between humans and robots. Busch also contributed to active incremental learning of movement primitives (38 citations) and multiagent reinforcement learning for inverse kinematics (36 citations), addressing challenges in high-dimensional manipulators for assistive and surgical applications. His evaluation of the ARMAR-6 industrial robotic assistant in ecological environments (15 citations) demonstrates his commitment to real-world impact. With over 295 total citations, Busch’s work is shaping the future of collaborative robotics in manufacturing and healthcare.
Research Focus
Key Achievements
Top Papers
- 1Postural optimization for an ergonomic human-robot interaction80 citations · 2017
- 2Learning Legible Motion from Human–Robot Interactions47 citations · 2017
- 3Planning Ergonomic Sequences of Actions in Human-Robot Interaction41 citations · 2018
- 4Facilitating intention prediction for humans by optimizing robot motions38 citations · 2015
- 5Active Incremental Learning of Robot Movement Primitives38 citations · 2017
- 6
- 7Evaluation of an Industrial Robotic Assistant in an Ecological Environment15 citations · 2019