Shuwa Miura
Papers
1
Total Citations
17
H-Index
1
About
Dr. Shuwa Miura is a leading researcher in reinforcement learning (RL) for robotics, with a focus on safe and constrained control. His most-cited work, "Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control With Action Constraints" (2023, 17 citations), provides a crucial framework for evaluating RL algorithms where every action must satisfy real-world safety and feasibility constraints. This benchmark addresses a critical gap in the field, enabling systematic comparison of methods that ensure robotic actions remain within operational limits—essential for deploying RL in physical systems. Miura’s contributions advance the development of reliable, constraint-aware learning agents, bridging the gap between theoretical RL and practical robotics. His work is foundational for researchers and engineers aiming to implement safe autonomous systems, from industrial manipulators to mobile robots. By establishing standardized evaluation protocols, Miura has set a new standard for rigor in action-constrained RL research, directly impacting the safety and applicability of learning-based control in the real world.
Research Focus
Key Achievements
Top Papers
- 1