Slope angle estimation based on multi-sensor fusion for a snake-like robot. - Zhenshan Bing; Long Cheng 007; Alois C. Knoll; Anyang Zhong; Kai Huang 001; Feihu Zhang (FUSION, 2017)

Research on the control method for high speed locomotion legged robot. - Fusheng Zha; Kenan Wang; Wei Guo 015; Zhenshan Bing; Changrong Cai; Baoxiang Wang 004; Zhenyu Jiang 001 (ICARM, 2017)

Event-Based Target Tracking Control for a Snake Robot Using a Dynamic Vision Sensor. - Zhuangyi Jiang; Zhenshan Bing; Kai Huang 001; Guang Chen 001; Long Cheng 007; Alois C. Knoll (ICONIP (6), 2017)

CPG-based control of smooth transition for body shape and locomotion speed of a snake-like robot. - Zhenshan Bing; Long Cheng 007; Kai Huang 001; Mingchuan Zhou; Alois C. Knoll (ICRA, 2017)

Towards autonomous locomotion: Slithering gait design of a snake-like robot for target observation and tracking. - Zhenshan Bing; Long Cheng 007; Kai Huang 001; Zhuangyi Jiang; Guang Chen 001; Florian Röhrbein; Alois C. Knoll (IROS, 2017)

Online Multi-object Tracking-by-Clustering for Intelligent Transportation System with Neuromorphic Vision Sensor. - Gereon Hinz; Guang Chen 001; Muhammad Aafaque; Florian Röhrbein; Jörg Conradt; Zhenshan Bing; Zhongnan Qu; Walter Stechele; Alois C. Knoll (KI, 2017)

Snake-like robot climbs inside different pipes. - Shanshan Xiao; Zhenshan Bing; Kai Huang 001; Yuhong Huang (ROBIO, 2017)

End to End Learning of Spiking Neural Network Based on R-STDP for a Lane Keeping Vehicle. - Zhenshan Bing; Claus Meschede; Kai Huang 001; Guang Chen 001; Florian Röhrbein; Mahmoud Akl; Alois C. Knoll (ICRA, 2018)

A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks. - Zhenshan Bing; Claus Meschede; Florian Röhrbein; Kai Huang 001; Alois C. Knoll (Frontiers Neurorobotics, 2018)

End to End Learning of a Multi-Layered Snn Based on R-Stdp for a Target Tracking Snake-Like Robot. - Zhenshan Bing; Zhuangyi Jiang; Long Cheng 007; Caixia Cai; Kai Huang 001; Alois C. Knoll (ICRA, 2019)

Mixed Frame-/Event-Driven Fast Pedestrian Detection. - Zhuangyi Jiang; Pengfei Xia; Kai Huang 001; Walter Stechele; Guang Chen 001; Zhenshan Bing; Alois C. Knoll (ICRA, 2019)

Energy-Efficient Slithering Gait Exploration for a Snake-Like Robot Based on Reinforcement Learning. - Zhenshan Bing; Christian Lemke; Zhuangyi Jiang; Kai Huang 001; Alois C. Knoll (IJCAI, 2019)

Adaptive Periodic Thermal Management for Pipelined Hard Real-Time Systems. - Long Cheng 007; Kai Huang 001; Gang Chen 023; Zhenshan Bing; Alois C. Knoll (IEEE Access, 2019)

Supervised Learning in SNN via Reward-Modulated Spike-Timing-Dependent Plasticity for a Target Reaching Vehicle. - Zhenshan Bing; Ivan Baumann; Zhuangyi Jiang; Kai Huang 001; Caixia Cai; Alois C. Knoll (Frontiers Neurorobotics, 2019)

Retina-Based Pipe-Like Object Tracking Implemented Through Spiking Neural Network on a Snake Robot. - Zhuangyi Jiang; Zhenshan Bing; Kai Huang 001; Alois C. Knoll (Frontiers Neurorobotics, 2019)

Neuromorphic Vision Datasets for Pedestrian Detection, Action Recognition, and Fall Detection. - Shu Miao; Guang Chen 001; Xiangyu Ning; Yang Zi; Kejia Ren; Zhenshan Bing; Alois C. Knoll (Frontiers Neurorobotics, 2019)

Peak Temperature Minimization for Hard Real-Time Systems Using DVS and DPM. - Mingchuan Zhou; Long Cheng 007; Manuel Dell'antonio; Xiebing Wang; Zhenshan Bing; M. Ali Nasseri; Kai Huang 001; Alois C. Knoll (J. Circuits Syst. Comput., 2019)

Toward Brain-Inspired Learning With the Neuromorphic Snake-Like Robot and the Neurorobotic Platform. - Guang Chen 001; Zhenshan Bing; Florian Röhrbein; Jörg Conradt; Kai Huang 001; Long Cheng 007; Zhuangyi Jiang; Alois C. Knoll (IEEE Trans. Cogn. Dev. Syst., 2019)

Biological-inspired Hierarchical Control of a Snake-like Robot for Autonomous Locomotion (Biologisch inspirierte hierarchische Kontrolle eines schlangenähnlichen Roboters zur autonomen Fortbewegung) - Zhenshan Bing (2019)

Target Tracking Control of a Wheel-less Snake Robot Based on a Supervised Multi-layered SNN. - Zhuangyi Jiang; Richard Otto; Zhenshan Bing; Kai Huang 001; Alois C. Knoll (IROS, 2020)

Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation. - Zhenshan Bing; Matthias Brucker; Fabrice O. Morin; Kai Huang 001; Alois C. Knoll (CoRR, 2020)

Perception-Action Coupling Target Tracking Control for a Snake Robot via Reinforcement Learning. - Zhenshan Bing; Christian Lemke; Fabrice O. Morin; Zhuangyi Jiang; Long Cheng 007; Kai Huang 001; Alois C. Knoll (Frontiers Neurorobotics, 2020)

Energy-efficient and damage-recovery slithering gait design for a snake-like robot based on reinforcement learning and inverse reinforcement learning. - Zhenshan Bing; Christian Lemke; Long Cheng 007; Kai Huang 001; Alois C. Knoll (Neural Networks, 2020)

Indirect and direct training of spiking neural networks for end-to-end control of a lane-keeping vehicle. - Zhenshan Bing; Claus Meschede; Guang Chen 001; Alois C. Knoll; Kai Huang 001 (Neural Networks, 2020)

A Novel Reinforcement Learning Sampling Method Without Additional Environment Feedback in Hindsight Experience Replay. - Chenxing Li; Yinlong Liu; Zhenshan Bing; Jan Seyler; Shahram Eivazi (RiTA, 2021)

Meta-Reinforcement Learning in Broad and Non-Parametric Environments. - Zhenshan Bing; Lukas Knak; Fabrice Oliver Robin; Kai Huang 001; Alois C. Knoll (CoRR, 2021)

Towards Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network. - Zhenshan Bing; Amir E. I. Sewisy; Genghang Zhuang; Florian Walter; Fabrice O. Morin; Kai Huang 001; Alois C. Knoll (CoRR, 2021)

A Biologically Inspired Simultaneous Localization and Mapping System Based on LiDAR Sensor. - Genghang Zhuang; Zhenshan Bing; Jiaxi Zhao; Ning Li; Yuhong Huang; Kai Huang 001; Alois C. Knoll (CoRR, 2021)

A Biologically Inspired Global Localization System for Mobile Robots Using LiDAR Sensor. - Genghang Zhuang; Carlo Cagnetta; Zhenshan Bing; Kai Huang 001; Alois C. Knoll (CoRR, 2021)

Spiking Neural Network for Fourier Transform and Object Detection for Automotive Radar. - Javier Lopez-Randulfe; Tobias Duswald; Zhenshan Bing; Alois C. Knoll (Frontiers Neurorobotics, 2021)

Adaptive Control for a 3D Snake-Like Robot Based on Mutual Supervised Reinforcement Learning. - Tinghe Hong; Zitao Zhang; Jianping Huang; Long Cheng 007; Zhenshan Bing; Kai Huang 001 (ICARM, 2022)

Enhanced Quadruped Locomotion of a Rat Robot Based on the Lateral Flexion of a Soft Actuated Spine. - Yuhong Huang; Zhenshan Bing; Florian Walter; Alex Rohregger; Zitao Zhang; Kai Huang 001; Fabrice O. Morin; Alois C. Knoll (IROS, 2022)

An Adaptive Approach to Whole-Body Balance Control of Wheel-Bipedal Robot Ollie. - Jingfan Zhang; Shuai Wang 007; Haitao Wang; Jie Lai; Zhenshan Bing; Yu Jiang; Yu Zheng 001; Zhengyou Zhang (IROS, 2022)

A Biologically-Inspired Simultaneous Localization and Mapping System Based on LiDAR Sensor. - Genghang Zhuang; Zhenshan Bing; Yuhong Huang; Kai Huang 001; Alois C. Knoll (IROS, 2022)

A Biologically-Inspired Global Localization System for Mobile Robots Using LiDAR Sensor. - Genghang Zhuang; Carlo Cagnetta; Zhenshan Bing; Hu Cao; Xinyi Li; Kai Huang 001; Alois C. Knoll (IV, 2022)

Real-time Semantic Segmentation in Traffic Scene based on Cross Stage Partial Block. - Lian Liu; Liguo Zhou; Zhenshan Bing; Ruining Wang; Alois Knoll (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

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)

Simulation to Real: Learning Energy-Efficient Slithering Gaits for a Snake-Like Robot. - Zhenshan Bing; Long Cheng 007; Kai Huang 001; Alois C. Knoll (IEEE Robotics Autom. Mag., 2022)

Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation. - Zhenshan Bing; Matthias Brucker; Fabrice O. Morin; Rui Li 077; Xiaojie Su; Kai Huang 001; Alois C. Knoll (IEEE Trans. Neural Networks Learn. Syst., 2022)

Toward Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network. - Zhenshan Bing; Amir E. I. Sewisy; Genghang Zhuang; Florian Walter; Fabrice O. Morin; Kai Huang 001; Alois C. Knoll (IEEE Trans. Neural Networks Learn. Syst., 2022)

Editorial: Biological-Inspired Autonomous Mobile Manipulation: Challenges in Design, Control, and Real-World Applications. - Zhenshan Bing; Fei Chen; Rui Li 077; Junpei Zhong; Qiang Li (Frontiers Neurorobotics, 2022)

Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning. - Mingyang Wang 003; Zhenshan Bing; Xiangtong Yao; Shuai Wang 007; Kai Huang 001; Hang Su 001; Chenguang Yang 001; Alois Knoll (AAAI, 2023)

Accelerate Training of Reinforcement Learning Agent by Utilization of Current and Previous Experience. - Chenxing Li; Yinlong Liu; Zhenshan Bing; Fabian Schreier; Jan Seyler; Shahram Eivazi (ICAART (3), 2023)

Selective Frequency Network for Image Restoration. - Yuning Cui 001; Yi Tao; Zhenshan Bing; Wenqi Ren; Xinwei Gao; Xiaochun Cao; Kai Huang 001; Alois Knoll (ICLR, 2023)

Human Robot Interaction with Triboelectric Nanogenerator for Tactile Sensing. - Chenxing Li; Yansong Wu; Yinlong Liu; Fabian Schreier; Zhenshan Bing; Alois C. Knoll; Shahram Eivazi (ICMRE, 2023)

Meta-Reinforcement Learning via Language Instructions. - Zhenshan Bing; Alexander W. Koch; Xiangtong Yao; Kai Huang 001; Alois Knoll (ICRA, 2023)

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)

Smooth Stride Length Change of Rat Robot with a Compliant Actuated Spine Based on CPG Controller. - Yuhong Huang; Zhenshan Bing; Zitao Zhang; Kai Huang 001; Fabrice O. Morin; 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)

An Energy-Efficient Lane-Keeping System Using 3D LiDAR Based on Spiking Neural Network. - Genghang Zhuang; Zhenshan Bing; Zhen Zhou; Xiangtong Yao; Yuhong Huang; Kai Huang 001; Alois Knoll (IROS, 2023)

Variable Weight Model Predictive Contour Control for Autonomous Tracking Based on Reinforcement Learning and Nonlinear Disturbance Observer. - Rui Dai; Wenjun Liu; Zhenshan Bing; Alois Knoll (ITSC, 2023)

Toward Neuromorphic Perception: Spike-driven Lane Segmentation for Autonomous Driving using LiDAR Sensor. - Genghang Zhuang; Zhenshan Bing; Kai Huang 001; Alois Knoll (ITSC, 2023)

A Hierarchical Reinforcement Learning Approach for Adaptive Quadruped Locomotion of a Rat Robot. - Zitao Zhang; Yuhong Huang; Zijian Zhao 002; Zhenshan Bing; Alois Knoll; Kai Huang 001 (ROBIO, 2023)

Sequential Spatial Network for Collision Avoidance in Autonomous Driving. - Haichuan Li; Liguo Zhou; Zhenshan Bing; Marzana Khatun; Rolf Jung; Alois C. Knoll (CoRR, 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)

DIVA: A Dirichlet Process Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder. - Zhenshan Bing; Yuan Meng; Yuqi Yun; Hang Su 001; Xiaojie Su; 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)

Language-conditioned Learning for Robotic Manipulation: A Survey. - Hongkuan Zhou; Xiangtong Yao; Yuan Meng; Siming Sun; Zhenshan Bing; Kai Huang 001; Alois Knoll (CoRR, 2023)

Solving Robotic Manipulation With Sparse Reward Reinforcement Learning Via Graph-Based Diversity and Proximity. - Zhenshan Bing; Hongkuan Zhou; Rui Li 077; Xiaojie Su; Fabrice O. Morin; Kai Huang 001; Alois C. Knoll (IEEE Trans. Ind. Electron., 2023)

Reduced Model-Based Fault Detector and Controller Design for Discrete-Time Switching Fuzzy Systems. - Yaoyao Tan; Xiaojie Su; Zhenshan Bing; Xiaokui Yang; Alois C. Knoll (IEEE Trans. Fuzzy Syst., 2023)

Meta-Reinforcement Learning in Non-Stationary and Dynamic Environments. - Zhenshan Bing; David Lerch; Kai Huang 001; Alois C. Knoll (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Editorial: Neuromorphic engineering for robotics. - Zhenshan Bing; Chenguang Yang 001; Alois Knoll (Frontiers Neurorobotics, 2023)

Toward Intelligent Sensing: Optimizing Lidar Beam Distribution for Autonomous Driving. - Genghang Zhuang; Zhenshan Bing; Xiangtong Yao; Yuhong Huang; Kai Huang 001; Alois Knoll (IEEE Trans. Intell. Transp. Syst., 2023)

Robotic Manipulation in Dynamic Scenarios via Bounding-Box-Based Hindsight Goal Generation. - Zhenshan Bing; Erick Álvarez; Long Cheng 007; Fabrice O. Morin; Rui Li 077; Xiaojie Su; Kai Huang 001; Alois Knoll (IEEE Trans. Neural Networks Learn. Syst., 2023)

Output Feedback Control of Fuzzy Systems via Reduced-Order Approximation Technique. - Xiaojie Su; Qianqian Chen; Shaoxin Sun; Zhenshan Bing; Alois Knoll (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Safe and Human-Like Trajectory Planning of Self-Driving Cars: A Constraint Imitative Method. - Mingyang Cui; Yingbai Hu; Shaobing Xu; Jianqiang Wang 003; Zhenshan Bing; Boqi Li 001; Alois Knoll (Adv. Intell. Syst., 2023)

Lateral flexion of a compliant spine improves motor performance in a bioinspired mouse robot. - Zhenshan Bing; Alex Rohregger; Florian Walter; Yuhong Huang; Peer Lucas; Fabrice O. Morin; Kai Huang 001; Alois Knoll (Sci. Robotics, 2023)

Autonomous Locomotion of a Rat Robot Based on Model-free Reinforcement Learning. - Zitao Zhang; Yuhong Huang; Zijian Zhao 002; Zhenshan Bing; Chenglin Cai; Alois Knoll; Kai Huang 001 (ICARM, 2024)

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)

Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models. - Yu Zhang 182; Long Wen 003; Xiangtong Yao; Zhenshan Bing; Linghuan Kong; Wei He 001; Alois Knoll (ICRA, 2024)

Optimizing Dynamic Balance in a Rat Robot via the Lateral Flexion of a Soft Actuated Spine. - Yuhong Huang; Zhenshan Bing; Zitao Zhang; Genghang Zhuang; Kai Huang 001; Alois Knoll (ICRA, 2024)

Contact Energy Based Hindsight Experience Prioritization. - Erdi Sayar; Zhenshan Bing; Carlo D'Eramo; Ozgur S. Oguz; 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)

IMU Based Pose Reconstruction and Closed-loop Control for Soft Robotic Arms. - Guanran Pei; Francesco Stella; Omar Meebed; Zhenshan Bing; Cosimo Della Santina; Josie Hughes (IROS, 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)

Elliptical K-Nearest Neighbors - Path Optimization via Coulomb's Law and Invalid Vertices in C-space Obstacles. - Liding Zhang; Zhenshan Bing; Yu Zhang 182; Kuanqi Cai; Lingyun Chen; Fan Wu 015; Sami Haddadin; Alois Knoll (IROS, 2024)

Online Efficient Safety-Critical Control for Mobile Robots in Unknown Dynamic Multi-Obstacle Environments. - Yu Zhang 182; Guangyao Tian; Long Wen 003; Xiangtong Yao; Liding Zhang; Zhenshan Bing; Wei He 001; Alois Knoll (IROS, 2024)

Ontology Based AI Planning and Scheduling for Robotic Assembly. - Jingyun Zhao; Birgit Vogel-Heuser; Jicong Ao; Yansong Wu; Liding Zhang; Fandi Hartl; Dominik Hujo; Zhenshan Bing; Fan Wu 015; Alois Knoll; Sami Haddadin; Bernd Vojanec; et al. (IROS, 2024)

Toward Long-Lasting Large-Scale Soft Robots: The Durability Challenge in Architectured Materials. - Francesco Stella; Guanran Pei; Omar Meebed; Qinghua Guan; Zhenshan Bing; Cosimo Della Santina; Josie Hughes (RoboSoft, 2024)

Locomotion Generation for a Rat Robot based on Environmental Changes via Reinforcement Learning. - Xinhui Shan; Yuhong Huang; Zhenshan Bing; Zitao Zhang; Xiangtong Yao; Kai Huang 001; Alois Knoll (CoRR, 2024)

Learning effective pruning at initialization from iterative pruning. - Shengkai Liu; Yaofeng Cheng; Fusheng Zha; Wei Guo 015; Lining Sun; Zhenshan Bing; Chenguang Yang 001 (CoRR, 2024)

TacDiffusion: Force-domain Diffusion Policy for Precise Tactile Manipulation. - Yansong Wu; Zongxie Chen; Fan Wu 015; Lingyun Chen; Liding Zhang; Zhenshan Bing; Abdalla Swikir; Alois Knoll; Sami Haddadin (CoRR, 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)

E-3DGS: Gaussian Splatting with Exposure and Motion Events. - Xiaoting Yin; Hao Shi 004; Yuhan Bao; Zhenshan Bing; Yiyi Liao; Kailun Yang 001; Kaiwei Wang (CoRR, 2024)

Motion Planning for Robotics: A Review for Sampling-based Planners. - Liding Zhang; Kuanqi Cai; Zewei Sun; Zhenshan Bing; Chaoqun Wang 009; Luis F. C. Figueredo; Sami Haddadin; Alois Knoll (CoRR, 2024)

Gassidy: Gaussian Splatting SLAM in Dynamic Environments. - Long Wen 003; Shixin Li; Yu Zhang 182; Yuhong Huang; Jianjie Lin; Fengjunjie Pan; Zhenshan Bing; Alois Knoll (CoRR, 2024)

Learning Monocular Depth from Events via Egomotion Compensation. - Haitao Meng; Chonghao Zhong; Sheng Tang; Lian JunJia; Wenwei Lin; Zhenshan Bing; Yi Chang 002; Gang Chen 023; Alois Knoll (CoRR, 2024)

Modulating emotional states of rats through a rat-like robot with learned interaction patterns. - Guanglu Jia; Zhe Chen 003; Yulai Zhang; Zhenshan Bing; Zhenzhen Quan; Xuechao Chen; Alois Knoll; Qiang Huang 002; Qing Shi (Nat. Mac. Intell., 2024)

Performance-Driven Safe Bayesian Optimization for Intelligent Tuning of High-Order Cascade Systems. - Tao Jiang 018; Xiaojie Su; Jiangshuai Huang; Zhenshan Bing; Alois Knoll (IEEE Trans. Artif. Intell., 2024)

Task-Based Compliance Control for Bottle Screw Manipulation With a Dual-Arm Robot. - Chunting Jiao; Lin Zhang; Xiaojie Su; Jiangshuai Huang; Zhenshan Bing; Alois Knoll (IEEE Trans. Ind. Electron., 2024)

Efficient Stereo Matching Using Swin Transformer and Multilevel Feature Consistency in Autonomous Mobile Systems. - Xiaojie Su; Shimin Liu; Rui Li 077; Zhenshan Bing; Alois Knoll (IEEE Trans. Ind. Informatics, 2024)

A2G: Leveraging Intuitive Physics for Force-Efficient Robotic Grasping. - Yaofeng Cheng; Shengkai Liu; Fusheng Zha; Wei Guo 015; Haoyu Du; Pengfei Wang 001; Zhenshan Bing (IEEE Robotics Autom. Lett., 2024)

Intelligent Transportation Systems Using Roadside Infrastructure: A Literature Survey. - Christian Creß; Zhenshan Bing; Alois C. Knoll (IEEE Trans. Intell. Transp. Syst., 2024)

MENet: Multi-Modal Mapping Enhancement Network for 3D Object Detection in Autonomous Driving. - Moyun Liu; Youping Chen; Jingming Xie; Yijie Zhu; Yang Zhang 053; Lei Yao; Zhenshan Bing; Genghang Zhuang; Kai Huang 001; Joey Tianyi Zhou (IEEE Trans. Intell. Transp. Syst., 2024)

Context-Based Meta-Reinforcement Learning With Bayesian Nonparametric Models. - Zhenshan Bing; Yuqi Yun; Kai Huang 001; Alois Knoll (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Meta-Reinforcement Learning in Nonstationary and Nonparametric Environments. - Zhenshan Bing; Lukas Knak; Long Cheng 007; Fabrice O. Morin; Kai Huang 001; Alois Knoll (IEEE Trans. Neural Networks Learn. Syst., 2024)

Event-Triggered Fuzzy Yaw Control of Six-Wheel Skid-Steer Vehicles. - Yaoyao Tan; Xiaojie Su; Yufeng Tian; Xiaoyu Ma; Zhenshan Bing; Alois Knoll (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Language-Conditioned Imitation Learning With Base Skill Priors Under Unstructured Data. - Hongkuan Zhou; Zhenshan Bing; Xiangtong Yao; Xiaojie Su; Chenguang Yang 001; Kai Huang 001; Alois Knoll (IEEE Robotics Autom. Lett., 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)

Estimated Informed Anytime Search for Sampling-Based Planning via Adaptive Sampler. - Liding Zhang; Kuanqi Cai; Yu Zhang 182; Zhenshan Bing; Chaoqun Wang 009; Fan Wu 015; Sami Haddadin; Alois Knoll (IEEE Trans Autom. Sci. Eng., 2025)

Meta-Learning-Based Safety-Critical Control in Multi-Obstacles Environments. - Yu Zhang 182; Long Wen 003; Yuhong Huang; Siming Sun; Zhenshan Bing; Wei He 001; Alois Knoll (IEEE Trans Autom. Sci. Eng., 2025)

Adaptive Oscillation-Suppression Control for Distributed Nonholonomic Vehicle Safe Formation With Nested Input Saturation. - Zhi Zheng; Tao Jiang 018; Jianxiang Wang; Xiaojie Su; Jiangshuai Huang; Zhenshan Bing; Alois Knoll (IEEE Trans Autom. Sci. Eng., 2025)

Pick-and-place Manipulation Across Grippers Without Retraining: A Learning-optimization Diffusion Policy Approach. - Xiangtong Yao; Yirui Zhou; Yuan Meng; Liangyu Dong; Lin Hong; Zitao Zhang; Zhenshan Bing; Kai Huang 001; Fuchun Sun; Alois Knoll (CoRR, 2025)

SharedAssembly: A Data Collection Approach via Shared Tele-Assembly. - Yansong Wu; Xiao Chen; Yu Chen; Hamid Sadeghian; Fan Wu 015; Zhenshan Bing; Sami Haddadin; Alexander König; Alois Knoll (CoRR, 2025)

Data-Agnostic Robotic Long-Horizon Manipulation with Vision-Language-Guided Closed-Loop Feedback. - Yuan Meng; Xiangtong Yao; Haihui Ye; Yirui Zhou; Shengqiang Zhang; Zhenshan Bing; Alois Knoll (CoRR, 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)

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation. - Lei Zhang 035; Soumya Mondal; Zhenshan Bing; Kaixin Bai; Diwen Zheng; Zhaopeng Chen; Alois Christian Knoll; Jianwei Zhang 001 (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)

Tree-Based Grafting Approach for Bidirectional Motion Planning With Local Subsets Optimization. - Liding Zhang; Yao Ling; Zhenshan Bing; Fan Wu 015; Sami Haddadin; Alois Knoll (IEEE Robotics Autom. Lett., 2025)

Whisker-based Active Tactile Perception for Contour Reconstruction. - Yixuan Dang; Qinyang Xu; Yu Zhang 182; Xiangtong Yao; Liding Zhang; Zhenshan Bing; Florian Röhrbein; Alois Knoll (CoRR, 2025)

APT*: Asymptotically Optimal Motion Planning via Adaptively Prolated Elliptical R-Nearest Neighbors. - Liding Zhang; Sicheng Wang; Kuanqi Cai; Zhenshan Bing; Fan Wu 015; Chaoqun Wang 009; Sami Haddadin; Alois Knoll (IEEE Robotics Autom. Lett., 2025)