Kota Uenishi
Papers
1
Total Citations
3
H-Index
1
About
Dr. Kota Uenishi is pioneering the integration of reinforcement learning and active vision to advance autonomous mobile manipulation—a critical frontier for personal and service robots. His most-cited work introduces the first reinforcement learning-based system enabling a mobile manipulator to perform targeted grasping in unstructured environments, combining active vision with distributed learning to overcome challenges in perception and control. This foundational research, with 3 citations, lays essential groundwork for robots that can adaptively interact with dynamic surroundings. Dr. Uenishi’s contributions address the core challenge of enabling robots to perceive, plan, and grasp objects while navigating, a key step toward versatile domestic and industrial assistants. His work is notable for its novel synthesis of reinforcement learning with real-time visual feedback, offering a scalable framework for future robotic systems. By tackling the complexities of mobile manipulation head-on, Dr. Uenishi is helping to shape a future where robots can perform diverse tasks reliably outside controlled environments, making his research a valuable reference for students and engineers in robotics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1