Abeje Y. Mersha
Papers
7
Total Citations
166
H-Index
6
About
Abeje Y. Mersha is a leading researcher in aerial robotics, whose work bridges the gap between autonomous flight, human-robot interaction, and intelligent control. His core contributions lie in developing advanced teleoperation and control systems for unmanned aerial vehicles (UAVs), with a particular focus on obstacle avoidance, haptic feedback, and variable impedance control. Mersha’s seminal papers, including “Robot Vision: Obstacle-Avoidance Techniques for Unmanned Aerial Vehicles” (43 citations) and “On Bilateral Teleoperation of Aerial Robots” (39 citations), have established foundational methods for enabling UAVs to navigate unknown environments and perform precise interactive tasks. His innovative “Variable impedance control for aerial interaction” (33 citations) introduced a versatile architecture that allows aerial robots to dynamically adjust their interaction forces, a breakthrough for contact-based operations. More recently, Mersha has ventured into reinforcement learning, exploring low-dimensional state representation to enhance robotic learning in continuous action spaces. With a total of over 160 citations across his most-cited works, his research has significantly advanced the safety, precision, and autonomy of aerial systems, making him a pivotal figure in the evolution of intelligent, interactive drones.
Research Focus
Key Achievements
Top Papers
- 1Robot Vision: Obstacle-Avoidance Techniques for Unmanned Aerial Vehicles43 citations · 2013
- 2On Bilateral Teleoperation of Aerial Robots39 citations · 2013
- 3Variable impedance control for aerial interaction33 citations · 2014
- 4Exploiting the dynamics of a robotic manipulator for control of UAVs24 citations · 2014
- 5
- 6
- 7Low Dimensional State Representation Learning with Reward-shaped Priors4 citations · 2021