OpenManipulator-X reinforcement-learning paper combines FTSM control with DDPG
Why it matters
External product-linked research evidence for a robotics product profile.
Evidence notes
- The paper applies reinforcement learning to improve control of the OpenMANIPULATOR-X robot.
- The method combines fixed-time sliding-mode control with a DDPG agent to reduce position error and chattering.
Company context
Develops actuator systems, control platforms, and modular robotics kits, best known for its DYNAMIXEL smart servos used across research, education, and commercial robotics. The company also builds complete robotic platforms including humanoid and mobile robots, primarily as development and ecosystem tools.