潘伟｜山东大学｜学者主页

2026

AERMANI-PLACE: Language Guided Object Placement with Aerial Manipulators

Sarthak Mishra, Ritama Sanyal, Rishabh Dev Yadav, Wei Pan, Spandan Roy

arXiv preprint

2026

Meta-Reinforcement Learning via Evolution for Multi-Objective Combinatorial Supply Chain Optimisation

Rifny Rachman, Bahrul Ilmi Nasution, Josh Tingey, Richard Allmendinger, Pradyumn Shukla, Wei Pan

arXiv preprint

2026

Towards Terrain-Aware Safe Locomotion for Quadrupedal Robots Using Proprioceptive Sensing

Peiyu Yang, Jiatao Ding, Wei Pan, Claudio Semini, Cosimo Della Santina

arXiv preprint

2026

Learning to infer and manipulate through distributed whole-arm interaction in a soft robot

Chuhan Zhang, Ebrahim Shahabi, Kseniia Khomenko, Wei Pan, Cosimo Della Santina

arXiv preprint

2026

Distributed Secure Learning Control for Large-scale Multirobots under Stealthy Actuator Attacks

Xinglong Zhang, Qingwen Ma, Cong Li, Hui Yin, Changxin Zhang, Yueying Wang, Wei Pan, Xin Xu

arXiv preprint

2026

Koopman Dreamer: Spectrally Constrained Latent Dynamics for Stable World-Model Imagination

Jiaqi Li, Xinglong Zhang, Haibin Xie, Yixing Lan, Wei Pan, Xin Xu

arXiv preprint

2026

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation

Jiaming Chen, Guoan Xu, Aoshen Huang, Haozhuo Zhang, Yang Li, Wei Pan

arXiv preprint

2026

Humanoid Horizon: Extending Task Horizon in Whole-Body Loco-Manipulation via Parallel Training, Dynamic Starting, and Reward Gating

Haozhuo Zhang, Qiang Zhang, Jian Tang, Mingzhe Ni, Michele Caprio, Angelo Cangelosi, Wei Pan

arXiv preprint

2026

A Switched Adaptive Control Framework for Aerial Manipulators Under Dynamic Transitions

Rishabh Dev Yadav, Saksham Gupta, Amitabh Sharma, Sarthak Mishra, Wei Pan, Spandan Roy, Simone Baldi

arXiv preprint

2026

CoINS: Counterfactual Interactive Navigation via Skill-Aware VLM

Kangjie Zhou, Zhejia Wen, Zhiyong Zhuo, Zike Yan, Pengying Wu, Ieng Hou U, Shuaiyang Li, Han Gao, Kang Ding, Wenhan Cao, Wei Pan, Chang Liu

arXiv preprint

2026

SSI-Policy: Learning Structured Scene Interfaces for Vision-Language Robotic Manipulation

Kaijun Wang, Zikai Ouyang, Xuping Wu, Jinyi Hong, Wei Pan, Haibo Lu, Jia Pan, Wei Zhang, Linfang Zheng

arXiv preprint

2026

Physics-based Online Adaptive Koopman Model Predictive Attitude Control for Combined Spacecraft with Dynamic Uncertainties

Yicheng Sun, Yueyong Lyu, Yuhan Liu, Yanning Guo, Wei Pan

arXiv preprint

DOI

2026

AeroPlace-Flow: Language-Grounded Object Placement for Aerial Manipulators via Visual Foresight and Object Flow

Sarthak Mishra, Rishabh Dev Yadav, Naveen Nair, Wei Pan, Spandan Roy

arXiv preprint

2026

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales

Yang Li, Feng Xue, Fan Mo, Yunhao Liu, Jianhong Wang, Ying Wen, Qingrui Zhang, Shaoshuai Mou, Wei Pan

arXiv preprint

2026

Reinforcement Learning for Control with Probabilistic Stability Guarantee: A Finite-Sample Approach

Minghao Han, Lixian Zhang, Chenliang Liu, Zhipeng Zhou, Jun Wang, Wei Pan

arXiv preprint

2026

Reinforcement learning in linear embedding space unlocks generalizable control across soft robot configurations

Xinglong Zhang, Cong Li, Hangjie Mo, Yue Jiang, Xin Xu, Wei Jiang, Zhenshan Bing, Yihe Yang, Xiaojian Li, Yueneng Yang, Huimin Lu, Ling-li Zeng, Alois Knoll, Dewen Hu, Li Wen, Wei Pan

arXiv preprint

2026

Physics-Aware Sparse Learning and Selective Online Adaptation for Euler-Lagrange Robot Dynamics

Rishabh Dev Yadav, Samaksh Ujjawal, Sihao Sun, Spandan Roy, Wei Pan

arXiv preprint

2026

Learn Structure, Adapt on the Fly: Multi-Scale Residual Learning and Online Adaptation for Aerial Manipulators

Samaksh Ujjawal, Naveen Sudheer Nair, Shivansh Pratap Singh, Rishabh Dev Yadav, Wei Pan, Spandan Roy

arXiv preprint

2026

Learning Cross-Coupled and Regime Dependent Dynamics for Aerial Manipulation

Rishabh Dev Yadav, Samaksh Ujjawal, Sihao Sun, Spandan Roy, Wei Pan

arXiv preprint

2026

SKooP: Symmetric Koopman Predictions for Faster and More Generalizable Legged Robot Locomotion with Reinforcement Learning

Evelyn D'Elia, Weishu Zhan, Giulio Turrisi, Giulio Romualdi, Giuseppe L'Erario, Raffaello Camoriano, Wei Pan, Daniele Pucci

arXiv preprint

2026

CoCoNav: Conformal Control for Safe Robot Navigation in Crowds

Cheng Guo, Mingzhe Ni, Zheng Liang, Yihu Ling, Yuan Hu, Michele Caprio, Daniele Pucci, Wei Pan

arXiv preprint

2026

Adaptive Artificial Time-Delay Control with Barrier Lyapunov Constraints for Euler-Lagrange Robots

Saksham Gupta, Rishabh Dev Yadav, Sarthak Mishra, Amitabh Sharma, Sourish Ganguly, Wei Pan, Spandan Roy, Simone Baldi

arXiv preprint

2026

Skill-Aware Diffusion for Generalizable Robotic Manipulation

Aoshen Huang, Jiaming Chen, Jiyu Cheng, Ran Song, Wei Pan, Wei Zhang

arXiv preprint

DOI

2026

MIRACL: A Diverse Meta-Reinforcement Learning for Multi-Objective Multi-Echelon Combinatorial Supply Chain Optimisation

Rifny Rachman, Josh Tingey, Richard Allmendinger, Wei Pan, Pradyumn Shukla, Bahrul Ilmi Nasution

arXiv preprint

2025

DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation

Shuyuan Wang, Philip D. Loewen, Michael Forbes, Bhushan Gopaluni, Wei Pan

arXiv preprint

2025

Vehicle Dynamics Embedded World Models for Autonomous Driving

Huiqian Li, Wei Pan, Haodong Zhang, Jin Huang, Zhihua Zhong

arXiv preprint

2025

Generative Visual Foresight Meets Task-Agnostic Pose Estimation in Robotic Table-Top Manipulation

Chuye Zhang, Xiaoxiong Zhang, Wei Pan, Linfang Zheng, Wei Zhang

arXiv preprint

2025

Vision-Language Model Predictive Control for Manipulation Planning and Trajectory Generation

Jiaming Chen, Wentao Zhao, Ziyu Meng, Donghui Mao, Ran Song, Wei Pan, Wei Zhang

arXiv preprint

2025

SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots

Chuhan Zhang, Cong Wang, Wei Pan, Cosimo Della Santina

arXiv preprint

2025

Versatile, Robust, and Explosive Locomotion with Rigid and Articulated Compliant Quadrupeds

Jiatao Ding, Peiyu Yang, Fabio Boekel, Jens Kober, Wei Pan, Matteo Saveriano, Cosimo Della Santina

arXiv preprint

2025

Impedance and Stability Targeted Adaptation for Aerial Manipulator with Unknown Coupling Dynamics

Amitabh Sharma, Saksham Gupta, Shivansh Pratap Singh, Rishabh Dev Yadav, Hongyu Song, Wei Pan, Spandan Roy, Simone Baldi

arXiv preprint

2025

AERMANI-VLM: Structured Prompting and Reasoning for Aerial Manipulation with Vision Language Models

Sarthak Mishra, Rishabh Dev Yadav, Avirup Das, Saksham Gupta, Wei Pan, Spandan Roy

arXiv preprint

2025

SoraNav: Adaptive UAV Task-Centric Navigation via Zeroshot VLM Reasoning

Hongyu Song, Rishabh Dev Yadav, Cheng Guo, Wei Pan

arXiv preprint

2025

Local Path Optimization in The Latent Space Using Learned Distance Gradient

Jiawei Zhang, Chengchao Bai, Wei Pan, Tianhang Liu, Jifeng Guo

arXiv preprint

DOI

2025

LHM-Humanoid: Long-Horizon Human Motion Control for Continuous Object Transport in Cluttered Scenes

Haozhuo Zhang, Jingkai Sun, Michele Caprio, Angelo Cangelosi, Jian Tang, Shanghang Zhang, Qiang Zhang, Wei Pan

arXiv preprint

2025

AERMANI-Diffusion: Regime-Conditioned Diffusion for Dynamics Learning in Aerial Manipulators

Samaksh Ujjawal, Shivansh Pratap Singh, Naveen Sudheer Nair, Rishabh Dev Yadav, Wei Pan, Spandan Roy

arXiv preprint

2025

ARCADE: Adaptive Robot Control with Online Changepoint-Aware Bayesian Dynamics Learning

Rishabh Dev Yadav, Avirup Das, Hongyu Song, Samuel Kaski, Wei Pan

arXiv preprint

2025

VLM-SFD: VLM-Assisted Siamese Flow Diffusion Framework for Dual-Arm Cooperative Manipulation

Jiaming Chen, Yiyu Jiang, Aoshen Huang, Yang Li, Wei Pan

arXiv preprint

DOI

2025

PoseDiff: A Unified Diffusion Model Bridging Robot Pose Estimation and Video-to-Action Control

Haozhuo Zhang, Michele Caprio, Jing Shao, Qiang Zhang, Jian Tang, Shanghang Zhang, Wei Pan

arXiv preprint

2025

Explosive Jumping with Rigid and Articulated Soft Quadrupeds via Example Guided Reinforcement Learning

Georgios Apostolides, Wei Pan, Jens Kober, Cosimo Della Santina, Jiatao Ding

arXiv preprint

2025

Object-Reconstruction-Aware Whole-body Control of Mobile Manipulators

Fatih Dursun, Bruno Vilhena Adorno, Simon Watson, Wei Pan

arXiv preprint

DOI

2025

Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI

Fei Ni, Min Zhang, Pengyi Li, Yifu Yuan, Lingfeng Zhang, Yuecheng Liu, Peilong Han, Longxin Kou, Shaojin Ma, Jinbin Qiao, David Gamaliel Arcos Bravo, Yuening Wang, Xiao Hu, Zhanguang Zhang, Xianze Yao, Yutong Li, Zhao Zhang, Ying Wen, Ying-Cong Chen, Xiaodan Liang, Liang Lin, Bin He, Haitham Bou-Ammar, He Wang, Huazhe Xu, Jiankang Deng, Shan Luo, Shuqiang Jiang, Wei Pan, Yang Gao, Stefanos Zafeiriou, Jan Peters, Yuzheng Zhuang, Yingxue Zhang, Yan Zheng, Hongyao Tang, Jianye Hao

arXiv preprint

2025

Safe Distributed Learning-Enhanced Predictive Control for Multiple Quadrupedal Robots

Weishu Zhan, Zheng Liang, Hongyu Song, Wei Pan

arXiv preprint

2025

TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion

Amr Mousa, Neil Karavis, Michele Caprio, Wei Pan, Richard Allmendinger

arXiv preprint

DOI

2025

AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit

Yang Li, Junfan Chen, Feng Xue, Jiabin Qiu, Wenbin Li, Qingrui Zhang, Ying Wen, Wei Pan

arXiv preprint

2025

Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain Optimisation

Rifny Rachman, Josh Tingey, Richard Allmendinger, Pradyumn Shukla, Wei Pan

arXiv preprint

2024

Toward Scalable Multirobot Control: Fast Policy Learning in Distributed MPC

Xinglong Zhang, Wei Pan, Cong Li, Xin Xu, Xiangke Wang, Ronghua Zhang, Dewen Hu

arXiv preprint

2024

Analyzing the Impact of Computation in Adaptive Dynamic Programming for Stochastic LQR Problem

Wenhan Cao, Alexandre Capone, Sandra Hirche, Wei Pan

arXiv preprint

2024

Aligning Individual and Collective Objectives in Multi-Agent Cooperation

Yang Li, Wenhao Zhang, Jianhong Wang, Shao Zhang, Yali Du, Ying Wen, Wei Pan

arXiv preprint

2024

Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control

Wenhan Cao, Wei Pan

arXiv preprint

2024

Open Ad Hoc Teamwork with Cooperative Game Theory

Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski

arXiv preprint

2024

Modular Adaptive Aerial Manipulation under Unknown Dynamic Coupling Forces

Rishabh Dev Yadav, Swati Dantu, Wei Pan, Sihao Sun, Spandan Roy, Simone Baldi

arXiv preprint

DOI

2024

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning

Tenglong Liu, Yang Li, Yixing Lan, Hao Gao, Wei Pan, Xin Xu

arXiv preprint

2024

Computation-Aware Learning for Stable Control with Gaussian Process

Wenhan Cao, Alexandre Capone, Rishabh Yadav, Sandra Hirche, Wei Pan

arXiv preprint

2024

Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems

Marcos Negre Saura, Richard Allmendinger, Wei Pan, Theodore Papamarkou

arXiv preprint

2024

DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models

Avirup Das, Rishabh Dev Yadav, Sihao Sun, Mingfei Sun, Samuel Kaski, Wei Pan

arXiv preprint

2024

Seeing Through Uncertainty: Free-Energy-Inspired Real-Time Adaptation for Robust Visual Navigation

Maytus Piriyajitakonkij, Rishabh Dev Yadav, Mingfei Sun, Mengmi Zhang, Wei Pan

arXiv preprint

2024

Fault Detection and Tolerant Control for Aero2 2D0F Two-rotor Helicopter

Khalid Kabir Dandago, Long Zhang, Wei Pan

arXiv preprint

2024

Virtual-force Based Visual Servo for Multiple Peg-in-Hole Assembly with Tightly Coupled Multi-Manipulator

Jiawei Zhang, Chengchao Bai, Wei Pan, Jifeng Guo

arXiv preprint

DOI

2024

HOLA-Drone: Hypergraphic Open-ended Learning for Zero-Shot Multi-Drone Cooperative Pursuit

Yang Li, Dengyu Zhang, Junfan Chen, Ying Wen, Qingrui Zhang, Shaoshuai Mou, Wei Pan

arXiv preprint

2023

Cooperative Open-ended Learning Framework for Zero-shot Coordination

Yang Li, Shao Zhang, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, Wei Pan

arXiv preprint

2023

Sim-and-Real Reinforcement Learning for Manipulation: A Consensus-based Approach

Wenxing Liu, Hanlin Niu, Wei Pan, Guido Herrmann, Joaquin Carrasco

arXiv preprint

DOI

2023

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination

Yang Li, Shao Zhang, Jichen Sun, Wenhao Zhang, Yali Du, Ying Wen, Xinbing Wang, Wei Pan

arXiv preprint

2023

Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework

Weiqin Zu, Wenbin Song, Ruiqing Chen, Ze Guo, Fanglei Sun, Zheng Tian, Wei Pan, Jun Wang

arXiv preprint

2023

SYNLOCO: Synthesizing Central Pattern Generator and Reinforcement Learning for Quadruped Locomotion

Xinyu Zhang, Zhiyuan Xiao, Qingrui Zhang, Wei Pan

arXiv preprint

2023

Unwieldy Object Delivery with Nonholonomic Mobile Base: A Stable Pushing Approach

Yujie Tang, Hai Zhu, Susan Potters, Martijn Wisse, Wei Pan

arXiv preprint

2023

Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions

Desong Du, Shaohang Han, Naiming Qi, Haitham Bou Ammar, Jun Wang, Wei Pan

arXiv preprint

2023

DACOOP-A: Decentralized Adaptive Cooperative Pursuit via Attention

Zheng Zhang, Dengyu Zhang, Qingrui Zhang, Wei Pan, Tianjiang Hu

arXiv preprint

2023

Deep Bayesian Reinforcement Learning for Spacecraft Proximity Maneuvers and Docking

Desong Du, Naiming Qi, Yanfang Liu, Wei Pan

arXiv preprint

2022

Deep Koopman Learning of Nonlinear Time-Varying Systems

Wenjian Hao, Bowen Huang, Wei Pan, Di Wu, Shaoshuai Mou

arXiv preprint

DOI

2022

Robust Bayesian Inference for Moving Horizon Estimation

Wenhan Cao, Chang Liu, Zhiqian Lan, Shengbo Eben Li, Wei Pan, Angelo Alessandri

arXiv preprint

2022

Bayesian Learning to Discover Mathematical Operations in Governing Equations of Dynamic Systems

Hongpeng Zhou, Wei Pan

arXiv preprint

2021

Robust Tube-based Model Predictive Control with Koopman Operators--Extended Version

Xinglong Zhang, Wei Pan, Riccardo Scattolini, Shuyou Yu, Xin Xu

arXiv preprint

DOI

2021

Sparse Bayesian Deep Learning for Dynamic System Identification

Hongpeng Zhou, Chahine Ibrahim, Wei Xing Zheng, Wei Pan

arXiv preprint

2021

Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles

Xinglong Zhang, Yaoqian Peng, Biao Luo, Wei Pan, Xin Xu, Haibin Xie

arXiv preprint

DOI

2021

Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee

Liang Hu, Yujie Tang, Zhipeng Zhou, Wei Pan

arXiv preprint

2021

Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning

Jie Ren, Yewen Li, Zihan Ding, Wei Pan, Hao Dong

arXiv preprint

2021

Reinforcement Learning Compensated Extended Kalman Filter for Attitude Estimation

Yujie Tang, Liang Hu, Qingrui Zhang, Wei Pan

arXiv preprint

2020

Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control

Qingrui Zhang, Hao Dong, Wei Pan

arXiv preprint

2020

Actor-Critic Reinforcement Learning for Control with Stability Guarantee

Minghao Han, Lixian Zhang, Jun Wang, Wei Pan

arXiv preprint

2020

Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee

Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan

arXiv preprint

2020

Model-Reference Reinforcement Learning for Collision-Free Tracking Control of Autonomous Surface Vehicles

Qingrui Zhang, Wei Pan, Vasso Reppa

arXiv preprint

2020

Lyapunov-Based Reinforcement Learning State Estimator

Liang Hu, Chengwei Wu, Wei Pan

arXiv preprint

2019

$H_\infty$ Model-free Reinforcement Learning with Robust Stability Guarantee

Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan

arXiv preprint

2019

A Sparse Bayesian Deep Learning Approach for Identification of Cascaded Tanks Benchmark

Hongpeng Zhou, Chahine Ibrahim, Wei Pan

arXiv preprint

2019

Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning

Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan

arXiv preprint

2018

Data-driven Discovery of Cyber-Physical Systems

Ye Yuan, Xiuchuan Tang, Wei Pan, Xiuting Li, Wei Zhou, Hai-Tao Zhang, Han Ding, Jorge Goncalves

arXiv preprint

DOI

2016

Dynamic Network Reconstruction from Heterogeneous Datasets

Zuogong Yue, Johan Thunberg, Wei Pan, Lennart Ljung, Jorge Goncalves

arXiv preprint

2015

Identifying Biochemical Reaction Networks From Heterogeneous Datasets

Wei Pan, Ye Yuan, Lennart Ljung, Jorge Goncalves, Guy-Bart Stan

arXiv preprint

2014

A Sparse Bayesian Approach to the Identification of Nonlinear State-Space Systems

Wei Pan, Ye Yuan, Jorge Gonçalves, Guy-Bart Stan

arXiv preprint

2014

Distributed Reconstruction of Nonlinear Networks: An ADMM Approach

Wei Pan, Aivar Sootla, Guy-Bart Stan

arXiv preprint

2012

Reconstruction of Arbitrary Biochemical Reaction Networks: A Compressive Sensing Approach

Wei Pan, Ye Yuan, Guy-Bart Stan

arXiv preprint

DOI

精选作品

期刊论文

基于混沌“微变异”自适应遗传算法

机场应急物资补货策略研究

多分销渠道下易变质产品的联合库存与定价模型

Research on the Digital Hydraulic Cylinder Nonlinear Robust Controlling Methods with Input Saturation

Research on the Robustness of Digital Hydraulic Position Tracking System Based on Sliding Mode Adaptive Control

不同突发事件下进口原油采购策略

我国随机事故发生时间的机场应急物资储备——基于单个应急准备阶段的医疗物资应急库存决策

基于供应中断风险的模糊多目标订单分配模型

基于傅里叶展开的电动力绳系卫星最优控制

实体店及其网上商店产品的动态定价及订货策略

微型卫星集群系统协同任务下的目标分配研究

带有回报率机会约束的报童问题

基于模糊权重的多目标订单分配模型

有限推力航天器双主动交会的最优控制

有限推力航天器轨迹优化问题的一种双模型直接配置法

考虑地球非球形摄动的固体动能拦截器助推段最优控制方案研究

不确定输入延时网络系统的鲁棒拥塞控制

基于Nash平衡点的网络收益优化策略

基于变精度粗集的战略石油储备规模决策方法

一种改进的实数自适应遗传算法

基于极点配置的网络流量控制研究

一类不确定时滞系统的模糊滑模控制

基于遗传算法的混合降阶H2/H∞控制器

基于遗传算法的混合H2/H∞状态反馈控制器

线性最优控制的反问题

会议论文

基于实数自适应遗传算法的μ综合问题

预印本

AERMANI-PLACE: Language Guided Object Placement with Aerial Manipulators

Meta-Reinforcement Learning via Evolution for Multi-Objective Combinatorial Supply Chain Optimisation

Towards Terrain-Aware Safe Locomotion for Quadrupedal Robots Using Proprioceptive Sensing

Learning to infer and manipulate through distributed whole-arm interaction in a soft robot

Distributed Secure Learning Control for Large-scale Multirobots under Stealthy Actuator Attacks

Koopman Dreamer: Spectrally Constrained Latent Dynamics for Stable World-Model Imagination

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation

Humanoid Horizon: Extending Task Horizon in Whole-Body Loco-Manipulation via Parallel Training, Dynamic Starting, and Reward Gating

A Switched Adaptive Control Framework for Aerial Manipulators Under Dynamic Transitions

CoINS: Counterfactual Interactive Navigation via Skill-Aware VLM

SSI-Policy: Learning Structured Scene Interfaces for Vision-Language Robotic Manipulation

Physics-based Online Adaptive Koopman Model Predictive Attitude Control for Combined Spacecraft with Dynamic Uncertainties

AeroPlace-Flow: Language-Grounded Object Placement for Aerial Manipulators via Visual Foresight and Object Flow

Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales

Reinforcement Learning for Control with Probabilistic Stability Guarantee: A Finite-Sample Approach

Reinforcement learning in linear embedding space unlocks generalizable control across soft robot configurations

Physics-Aware Sparse Learning and Selective Online Adaptation for Euler-Lagrange Robot Dynamics

Learn Structure, Adapt on the Fly: Multi-Scale Residual Learning and Online Adaptation for Aerial Manipulators

Learning Cross-Coupled and Regime Dependent Dynamics for Aerial Manipulation

SKooP: Symmetric Koopman Predictions for Faster and More Generalizable Legged Robot Locomotion with Reinforcement Learning

CoCoNav: Conformal Control for Safe Robot Navigation in Crowds

Adaptive Artificial Time-Delay Control with Barrier Lyapunov Constraints for Euler-Lagrange Robots

Skill-Aware Diffusion for Generalizable Robotic Manipulation

MIRACL: A Diverse Meta-Reinforcement Learning for Multi-Objective Multi-Echelon Combinatorial Supply Chain Optimisation

DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation

Vehicle Dynamics Embedded World Models for Autonomous Driving

Generative Visual Foresight Meets Task-Agnostic Pose Estimation in Robotic Table-Top Manipulation

Vision-Language Model Predictive Control for Manipulation Planning and Trajectory Generation

SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots

Versatile, Robust, and Explosive Locomotion with Rigid and Articulated Compliant Quadrupeds

Impedance and Stability Targeted Adaptation for Aerial Manipulator with Unknown Coupling Dynamics

AERMANI-VLM: Structured Prompting and Reasoning for Aerial Manipulation with Vision Language Models

SoraNav: Adaptive UAV Task-Centric Navigation via Zeroshot VLM Reasoning

Local Path Optimization in The Latent Space Using Learned Distance Gradient

LHM-Humanoid: Long-Horizon Human Motion Control for Continuous Object Transport in Cluttered Scenes

AERMANI-Diffusion: Regime-Conditioned Diffusion for Dynamics Learning in Aerial Manipulators

ARCADE: Adaptive Robot Control with Online Changepoint-Aware Bayesian Dynamics Learning

VLM-SFD: VLM-Assisted Siamese Flow Diffusion Framework for Dual-Arm Cooperative Manipulation

PoseDiff: A Unified Diffusion Model Bridging Robot Pose Estimation and Video-to-Action Control

Explosive Jumping with Rigid and Articulated Soft Quadrupeds via Example Guided Reinforcement Learning

Object-Reconstruction-Aware Whole-body Control of Mobile Manipulators

Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI

Safe Distributed Learning-Enhanced Predictive Control for Multiple Quadrupedal Robots

TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion

AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit

Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain Optimisation

Toward Scalable Multirobot Control: Fast Policy Learning in Distributed MPC

Analyzing the Impact of Computation in Adaptive Dynamic Programming for Stochastic LQR Problem

Aligning Individual and Collective Objectives in Multi-Agent Cooperation

Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control