Driving torque distribution strategy of skid-steering vehicles with knowledge-assisted reinforcement learning
H Dai, P Chen, H Yang - Applied Sciences, 2022 - mdpi.com
Due to the advantages of their drive configuration form, skid-steering vehicles with
independent wheel drive systems are widely used in various special applications. However …
independent wheel drive systems are widely used in various special applications. However …
Fault-tolerant control of skid steering vehicles based on meta-reinforcement learning with situation embedding
H Dai, P Chen, H Yang - Actuators, 2022 - mdpi.com
Meta-reinforcement learning (meta-RL), used in the fault-tolerant control (FTC) problem,
learns a meta-trained model from a set of fault situations that have a high-level similarity …
learns a meta-trained model from a set of fault situations that have a high-level similarity …
Optimal Control Gains Optimization for Mobile Robot Considering Dynamic Constraints
SC Park, M Kim, HM Park, JH Park - IEEE Access, 2024 - ieeexplore.ieee.org
Traditional kinematic control of mobile robots primarily regulates position and orientation,
often neglecting dynamic factors such as acceleration and torque, making it suitable for low …
often neglecting dynamic factors such as acceleration and torque, making it suitable for low …