In recent years, the development of robotics and artificial intelligence (AI) systems has been
nothing short of remarkable. As these systems continue to evolve, they are being utilized in …

Imitation learning (IL), a burgeoning frontier in machine learning, holds immense promise
across diverse domains. In recent years, its integration into robotics has sparked significant …

This paper proposes a hierarchical robot manipulation control scheme for the manipulator
pushing task. Considering the contact surface and the object mass parameters are generally …

It is an interesting open problem to enable robots to efficiently and effectively learn long-
horizon manipulation skills. Motivated to augment robot learning via more effective …

Behavioral cloning of imitation learning is theoretically sound that can capture and generate
the motor skills from expert demonstrations, but they suffer poor adaptability with a small …

This paper proposes a hierarchical task-oriented whole-body locomotion framework for the
exoskeleton walking-cart pushing (EWCP) task, which includes a straight gait and a …

Abstract “Motion generation by imitating” enables a robot to generate its trajectory in a new
environment. Research works on dynamic movement primitives (DMP) has reported …

Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds
significant promise for capturing expert motor skills through efficient imitation, facilitating …

This paper represents a constraint planning and optimization control scheme for a highly
redundant mobile manipulator considering a complex indoor environment. Compared with …

Accurately predicting joint torque using wearable sensors is crucial for designing assist-as-
needed exoskeleton controllers to assist muscle-generated torque and ensure successful …