Johan Baeten
Papers
9
Total Citations
427
H-Index
8
About
Johan Baeten is a leading researcher in robotics, specializing in the integration of vision and force control for autonomous manipulation. His work focuses on enabling robots to perform complex tasks in uncalibrated, unstructured environments—a critical step toward practical, real-world automation. Baeten’s most cited paper, “Autonomous Fruit Picking Machine: A Robotic Apple Harvester” (2008, 209 citations), demonstrates his commitment to applied robotics, showcasing a complete system for delicate agricultural harvesting. His foundational contributions center on the hybrid vision/force control framework, particularly using the task frame formalism to model and execute tasks like planar contour following and corner negotiation. His 2002 paper on hybrid vision/force control at corners (79 citations) and his 2003 work on integrated vision/force servoing (63 citations) are seminal, showing how to fuse eye-in-hand vision with force feedback for robust, high-speed manipulation. Baeten’s research has advanced sensor fusion, shared control, and Bayesian filtering for robot compliant motion, directly impacting fields from manufacturing to agriculture. His work is essential reading for anyone interested in multi-sensor robotic control and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Autonomous Fruit Picking Machine: A Robotic Apple Harvester209 citations · 2008
- 2Hybrid vision/force control at corners in planar robotic-contour following79 citations · 2002
- 3Integrated Vision/Force Robotic Servoing in the Task Frame Formalism63 citations · 2003
- 4Integrated Visual Servoing and Force Control27 citations · 2004
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- 7Shared control in hybrid vision/force robotic servoing using the task frame12 citations · 2003
- 8Combined vision/force control at corners in planar robotic contour following10 citations · 2002
- 9Integration of vision and force for robotic servoing2 citations · 2001