A Hybrid Control Strategy for Dual-arm Object Manipulation Using Fused Force/Position Errors and Iterative Learning. - Bo-Hsun Chen; Yu-Hsun Wang; Pei-Chun Lin (AIM, 2018)

A Feedback Force Controller Fusing Traditional Control and Reinforcement Learning Strategies. - Bo-Hsun Chen; Yu-Hsun Wang; Pei-Chun Lin (AIM, 2019)

A dual-arm manipulation strategy using position/force errors and Kalman filter. - Wu-Te Yang; Bo-Hsun Chen; Pei-Chun Lin (Trans. Inst. Meas. Control, 2022)

POLAR3D: Augmenting NASA's POLAR Dataset for Data-Driven Lunar Perception and Rover Simulation. - Bo-Hsun Chen; Peter Negrut; Thomas Liang; Nevindu Batagoda; Harry Zhang; Dan Negrut (CoRR, 2023)

A physics-based sensor simulation environment for lunar ground operations. - Nevindu Batagoda; Bo-Hsun Chen; Harry Zhang; Radu Serban; Dan Negrut (CoRR, 2024)

Instance Performance Difference: A Metric to Measure the Sim-To-Real Gap in Camera Simulation. - Bo-Hsun Chen; Dan Negrut (CoRR, 2024)

Deep Imitation Learning for Optimal Trajectory Planning and Initial Condition Optimization for an Unstable Dynamic System. - Bo-Hsun Chen; Pei-Chun Lin (Adv. Intell. Syst., 2024)

DiffPhysCam: Differentiable Physics-Based Camera Simulation for Inverse Rendering and Embodied AI. - Bo-Hsun Chen; Nevindu Batagoda; Dan Negrut (CoRR, 2025)