Learning from Symmetry: Meta-Reinforcement Learning with Symmetric Data and Language Instructions. - Xiangtong Yao; Zhenshan Bing; Genghang Zhuang; Kejia Chen 005; Hongkuan Zhou; Kai Huang 001; Alois C. Knoll (CoRR, 2022)

Contact-Aware Shaping and Maintenance of Deformable Linear Objects With Fixtures. - Kejia Chen 005; Zhenshan Bing; Fan Wu 015; Yuan Meng; André Kraft; Sami Haddadin; Alois Knoll (IROS, 2023)

Learning from Symmetry: Meta-Reinforcement Learning with Symmetrical Behaviors and Language Instructions. - Xiangtong Yao; Zhenshan Bing; Genghang Zhuang; Kejia Chen 005; Hongkuan Zhou; Kai Huang 001; Alois Knoll (IROS, 2023)

Safety Guaranteed Manipulation Based on Reinforcement Learning Planner and Model Predictive Control Actor. - Zhenshan Bing; Aleksandr Mavrichev; Sicong Shen; Xiangtong Yao; Kejia Chen 005; Kai Huang 001; Alois C. Knoll (CoRR, 2023)

Flexible Informed Trees (FIT*): Adaptive Batch-Size Approach for Informed Sampling-Based Planner. - Liding Zhang; Zhenshan Bing; Kejia Chen 005; Lingyun Chen; Fan Wu 015; Peter Krumbholz; Zhilin Yuan; Sami Haddadin; Alois Knoll (CoRR, 2023)

Real-time Contact State Estimation in Shape Control of Deformable Linear Objects under Small Environmental Constraints. - Kejia Chen 005; Zhenshan Bing; Yansong Wu; Fan Wu 015; Liding Zhang; Sami Haddadin; Alois Knoll (ICRA, 2024)

1 kHz Behavior Tree for Self-adaptable Tactile Insertion. - Yansong Wu; Fan Wu 015; Lingyun Chen; Kejia Chen 005; Samuel Schneider; Lars Johannsmeier; Zhenshan Bing; Fares J. Abu-Dakka; Alois Knoll; Sami Haddadin (ICRA, 2024)

Flexible Informed Trees (FIT*): Adaptive Batch-Size Approach in Informed Sampling-Based Path Planning. - Liding Zhang; Zhenshan Bing; Kejia Chen 005; Lingyun Chen; Kuanqi Cai; Yu Zhang 182; Fan Wu 015; Peter Krumbholz; Zhilin Yuan; Sami Haddadin; Alois Knoll (IROS, 2024)

Learning Task Planning from Multi-Modal Demonstration for Multi-Stage Contact-Rich Manipulation. - Kejia Chen 005; Zheng Shen; Yue Zhang; Lingyun Chen; Fan Wu 015; Zhenshan Bing; Sami Haddadin; Alois Knoll (CoRR, 2024)

Preserving and combining knowledge in robotic lifelong reinforcement learning. - Yuan Meng; Zhenshan Bing; Xiangtong Yao; Kejia Chen 005; Kai Huang 001; Yang Gao; Fuchun Sun; Alois Knoll (Nat. Mac. Intell., 2025)

Pretrained Bayesian Non-parametric Knowledge Prior in Robotic Long-Horizon Reinforcement Learning. - Yuan Meng; Xiangtong Yao; Kejia Chen 005; Yansong Wu; Liding Zhang; Zhenshan Bing; Alois Knoll (CoRR, 2025)

Multi-Robot Assembly of Deformable Linear Objects Using Multi-Modal Perception. - Kejia Chen 005; Celina Dettmering; Florian Pachler; Zhuo Liu; Yue Zhang; Tailai Cheng; Jonas Dirr; Zhenshan Bing; Alois Knoll; Rüdiger Daub (CoRR, 2025)