H.J.W. Spoelder
Papers
7
Total Citations
248
H-Index
5
About
H.J.W. Spoelder is a researcher whose work spans robotics, intelligent control systems, and human-computer interaction, with particular expertise in autonomous mobile robot navigation and tactile sensing. His most influential contribution, a behavior-based neuro-fuzzy controller for mobile robot navigation in indoor environments, has garnered over 170 citations and demonstrated how hierarchically organized robot behaviors could be effectively governed through hybrid neural-fuzzy architectures — an approach that helped bridge the gap between symbolic reasoning and adaptive learning in robotics. Spoelder has also made notable strides in robotic tactile sensing, developing an original model-based method for blind three-dimensional object recognition using pseudorandom-encoded surfaces, earning over 25 citations and offering practical solutions for robots operating without visual feedback. His earlier work on multisensor integration laid important groundwork for robust position estimation and obstacle avoidance in mobile platforms. Beyond physical robotics, Spoelder explored the frontier of human-multi-agent interaction through immersive virtual reality environments, using RoboCup as a compelling test bed. Together, his publications reflect a researcher consistently pushing the boundaries of intelligent, perceptive, and interactive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Behavior-based neuro-fuzzy controller for mobile robot navigation174 citations · 2003
- 2Behavior-based neuro-fuzzy controller for mobile robot navigation32 citations · 2003
- 3Robotic Tactile Recognition of Pseudorandom Encoded Objects23 citations · 2004
- 4Man Multi-Agent Interaction in VR: a Case Study with RoboCup.8 citations · 2000
- 5Man multi-agent interaction in VR: a case study with RoboCup6 citations · 2002
- 6Multisensor system for mobile robot navigation3 citations · 1996
- 7Robotic tactile recognition of pseudo-random encoded objects2 citations · 2004