Learning to walk a tripod mobile robot using nonlinear soft vibration actuators with entropy adaptive reinforcement learning

JI Kim, M Hong, K Lee, DW Kim… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
Soft mobile robots have shown great potential in unstructured and confined environments by
taking advantage of their excellent adaptability and high dexterity. However, there are …

[PDF][PDF] Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators with Entropy Adaptive Reinforcement Learning

JI Kim, M Hong, K Lee, DW Kim, YL Park, S Oh - rllab.snu.ac.kr
Soft mobile robots have shown great potential in unstructured and confined environments by
taking advantage of their excellent adaptability and high dexterity. However, there are …

[PDF][PDF] Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators With Entropy Adaptive Reinforcement Learning

JI Kim, M Hong, K Lee, DW Kim, YL Park, S Oh - softrobotics.snu.ac.kr
Soft mobile robots have shown great potential in unstructured and confined environments by
taking advantage of their excellent adaptability and high dexterity. However, there are …

Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators With Entropy Adaptive Reinforcement Learning

JI Kim, M Hong, K Lee, DW Kim… - IEEE ROBOTICS AND …, 2020 - scholarworks.bwise.kr
Soft mobile robots have shown great potential in unstructured and confined environments by
taking advantage of their excellent adaptability and high dexterity. However, there are …

[PDF][PDF] Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators with Entropy Adaptive Reinforcement Learning

JI Kim, M Hong, K Lee, DW Kim, YL Park, S Oh - rllab.snu.ac.kr
Soft mobile robots have shown great potential in unstructured and confined environments by
taking advantage of their excellent adaptability and high dexterity. However, there are …

[PDF][PDF] Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators With Entropy Adaptive Reinforcement Learning

JI Kim, M Hong, K Lee, DW Kim, YL Park, S Oh - softrobotics.snu.ac.kr
Soft mobile robots have shown great potential in unstructured and confined environments by
taking advantage of their excellent adaptability and high dexterity. However, there are …