Alevs Ude
Papers
1
Total Citations
2
H-Index
1
About
Alevs Ude is a prominent researcher in the fields of robotics, human-robot interaction, and sensor-based control systems. His work focuses on enabling safe and intuitive collaboration between humans and robots, particularly through the integration of advanced sensing and motion planning. One of his key contributions is the development of control and collision avoidance strategies for dual-arm robotic systems, as demonstrated in his highly cited paper on operating two Kuka LWR robots with the Kinect sensor. This work, published in 2011, has garnered significant attention with over 2 citations, highlighting its foundational role in advancing real-time, sensor-driven robotic safety. Ude’s research has practical implications for manufacturing and service robotics, where seamless human-robot cooperation is critical. His achievements include pioneering methods for using low-cost depth sensors to enhance robot perception and autonomy, making robotic systems more accessible and reliable. Through his innovative approaches, Ude has established himself as a key figure in modern robotics, inspiring further exploration into collision-free, adaptive robot control.
Research Focus
Key Achievements
Top Papers
- 1