Daman Bareiss
Papers
7
Total Citations
497
H-Index
6
About
Daman Bareiss is a leading researcher in autonomous aerial robotics, with a primary focus on collision avoidance and bio-inspired design for unmanned aerial vehicles (UAVs). His most influential work, "Generalized reciprocal collision avoidance" (182 citations), established a formal framework for multi-robot navigation, enabling robots with diverse dynamics—from simple integrators to car-like and differential-drive systems—to coordinate safely in shared spaces. This foundational contribution was extended in his LQR-Obstacles approach (79 citations), which introduced a rigorous method for reciprocal collision avoidance under linear differential constraints. Bareiss is also celebrated for his innovative avian-inspired passive perching mechanism (162 citations), which allows quadrotors to land and remain stationary on vertical surfaces without active power consumption—a breakthrough for reconnaissance missions requiring prolonged surveillance. He demonstrated the practical viability of his theoretical work by implementing 3-D reciprocal collision avoidance on physical quadrotor helicopters using on-board cameras for relative positioning (35 citations), bridging the gap between simulation and real-world deployment. His later research addresses stochastic collision avoidance for tele-operated UAVs, accounting for sensing uncertainties, and studies how automatic collision avoidance can reduce pilot cognitive load during complex maneuvers.
Research Focus
Key Achievements
Top Papers
- 1Generalized reciprocal collision avoidance182 citations · 2015
- 2An Avian-Inspired Passive Mechanism for Quadrotor Perching162 citations · 2012
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