Papers
6
Total Citations
40
H-Index
5
About
B.J. Driessen is a robotics researcher whose work spans path planning, control theory, and multi-robot coordination. His most influential contribution, "Path planning for complex terrain navigation via dynamic programming" (1999, 13 citations), introduced a method that treats steep slopes as navigational obstacles, enabling safer autonomous traversal of rugged environments. Driessen also developed a novel approach for generating smooth, natural trajectories for robot-assisted physiotherapy in synthetic worlds (2001, 7 citations), bridging robotics and rehabilitation. In control theory, he co-designed an adjustable-rate semiglobally exponential observer/controller for robots with actuator dynamics using only link position measurements (2010, 5 citations), advancing tracking performance under sensor constraints. His work on cooperative control of vehicle swarms for acoustic target localization (2004, 5 citations) demonstrated how energy flow from pressure sensors can guide robotic teams to sound sources. Driessen also contributed a fast O(N) algorithm for solving constrained minimum-time problems (1999, 5 citations) and applied phase plane analysis to design provably stable finite state machine behaviors for autonomous vehicles (2002, 5 citations). Across these contributions, Driessen has shown a consistent ability to merge theoretical rigor with practical robotic challenges, earning over 40 total citations and establishing himself as a versatile researcher in autonomous systems and control.
Research Focus
Key Achievements
Top Papers
- 1Path planning for complex terrain navigation via dynamic programming13 citations · 1999
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