Richard Crowder
Papers
44
Total Citations
569
H-Index
15
About
Richard Crowder is a prolific researcher whose work spans two interconnected domains: robotic manipulation and swarm robotics. Over a career spanning more than three decades, he has made foundational contributions to the design and control of robotic end effectors, beginning with his seminal 1991 paper on anthropomorphic robotic hands and continuing through sophisticated work on tendon-based grippers, tactile sensing, and adaptive control systems. Crowder's research into robotic grasping has produced significant advances in how machines sense and respond to physical contact. His development of photoelastic tactile sensors, fuzzy logic-based grasp optimization, and neurofuzzy adaptive controllers — each attracting between 29 and 40 citations — collectively pushed robotic manipulation closer to real-world applicability. His work on texture recognition through touch further demonstrated a commitment to bridging laboratory innovation and practical deployment. In parallel, Crowder has contributed meaningfully to swarm robotics, investigating how collective robot behaviours emerge and adapt. His Information-Cost-Reward framework and studies on behavioural plasticity in foraging swarms, accumulating over 70 combined citations, offer theoretical tools for understanding and designing autonomous multi-robot systems. His research on fault detection ensures swarm resilience under real-world conditions. Across these fields, Crowder's work exemplifies rigorous, application-driven robotics research with lasting scholarly influence.
Research Focus
Key Achievements
Top Papers
- 1Information flow principles for plasticity in foraging robot swarms44 citations · 2016
- 2Grasping and Control Issues in Adaptive End Effectors40 citations · 2004
- 3
- 4A dynamic tactile sensor on photoelastic effect35 citations · 2006
- 5An anthropomorphic robotic end effector31 citations · 1991
- 6Toward Robots That Can Sense Texture by Touch30 citations · 2006
- 7The Information-Cost-Reward framework for understanding robot swarm foraging29 citations · 2017
- 8Optimal object grasp using tactile sensors and fuzzy logic29 citations · 1999
- 9Exogenous Fault Detection and Recovery for Swarm Robotics22 citations · 2015
- 10A multi-fingered end effector for unstructured environments22 citations · 2003