Human-Robot Collaboration

Latest papers 171

32 papers in the last four weeks, up 129% on the four weeks before. 0.2% of all new papers.

Neuro-Symbolic Graph Transformers for Hierarchical Intention Recognition from Multimodal Human Activity Sequences
Oct 13, 2026Farnaz Soleimani, Abdelghani Chibani, Yacine Amirat +1Human Activity Recognition Graph Transformer
LISSI · LISSI Laboratory, University of Paris-Est Cr´eteil (UPEC), 122 Rue Paul Armangot, Vitry-sur-Seine, 94400, France.
Adaptive Interaction Network for Human Motion Prediction During Human-Robot Collaboration
Oct 12, 2026Mengyuan Liu, Yangting Lin, Qiongjie CuiHuman Motion Prediction Human-Robot Collaboration
State Key Laboratory of General Artificial Intelligence, Peking University, Shenzhen Graduate School, Shenzhen, Guangdong 518055, China · Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Peking University, Shenzhen Graduate School, Shenzhen, Guangdong 518055, China · National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China
Toward Study on the Effects of Robot's Humorous Apology on Human's Trust Recovery
Oct 12, 2026Gayoung Kim, Go-Eum Cha, Wonse JoHuman-Robot Interaction Trust in AI
A+HRI Laboratory, Department of Information and Telecommunication Engineering, Incheon National University, Incheon, South Korea. · Department of Computer Science, Purdue University, IN, USA.
A Reinforcement Learning Framework for Safety-Aware Haptic Shared Control in Surgical Robotics
Oct 11, 2026Zihao Zhang, Karl Handwerker, Balint VargaRobotic Control Human-Robot Collaboration
Institute of Control Systems, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany
Design and Evaluation of a Collaborative Teleoperation Interface for Multi-Operator Multi-Robot Systems in Challenging Environments
Oct 10, 2026Alperen Kenan, Juan José García Cárdenas, Adriana Tapus +2Robot Teleoperation Multi-Robot Systems
Bristol Robotics Laboratory, University of the West of England, Bristol, United Kingdom · Computer Science and System Engineering Department (U2IS), Autonomous Systems and Robotics Lab, ENSTA, Institut Polytechnique de Paris, Paris, France · Kempten University of Applied Sciences, Kempten, Germany
In View or Out of View? A Vision-Aware Filter that Infers and Reacts to the Human's Field of View
Oct 10, 2026Mengxue Fu, Ya-Chuan Hsu, Yinlong Dai +2Human-Robot Interaction Human-Robot Collaboration
LiraLab, Thomas Lord Department of Computer Science, University of Southern California, Los Angeles, CA 90089 · Collaborative Robotics Lab (Collab), Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061
A Scoping Review and Experimental Study on Reinforcement Learning from Human Feedback for Human-Robot Collaboration
Oct 7, 2026Alexandra Coroiu, Andrea Vogt, Viktor Werbilo +3RL from Human Feedback Human-Robot Collaboration
DLR Institute for AI Safety and Security, Wilhelm-Runge-Straße 10, 89081, Ulm, Germany · DLR Institute for AI Safety and Security, Rathausallee 12, 53757, Sankt Augustin, Germany
Toward Evidence-Driven Human-Agent-Robot Teaming for Earth-Independent Anomaly Triage
Oct 6, 2026Ignacio G Lopez-Francos, Alexis Gallagher, Samira ShalalHuman-Robot Collaboration Space Robotics
NASA Ames Research Center, Moffett Field, CA, USA · SETI Institute, Mountain View, CA, USA · The University of Texas at Austin, Austin, TX, USA +2
Proactive Robot Assistance via Event-Driven Reasoning over State Changes
Oct 6, 2026Fengkai Liu, Hao Su, Haozhuang Chi +6Human-Robot Collaboration VLM Reasoning
The University of Osaka · Nanyang Technological University · The University of Tokyo
Physics Residual Dynamics and Reduced Order Whole-Body Planning for Obstacle Aware Human Robot Cloth CoTransportation
Oct 5, 2026Moein Forouhar, Kosar Behnia, Anirvan Dutta +5Deformable Object Manipulation Whole-Body Robotic Manipulation
Technical University of Munich (TUM), Germany · Tampere University, Finland · Aalto University, Finland +1
Traversability-Aware Cooperative Path Planning for Human-UGV Casualty Evacuation
Oct 5, 2026Kristian Dalland, Prithvi Poddar, Souma Chowdhury +2Multi-Robot Motion Planning Human-Robot Collaboration
Department of Mechanical and Aerospace Engineering, University at Buffalo, NY 14260, USA · Department of Computer Science and Engineering, University at Buffalo, NY 14260, USA
A State Based Dispatch Controller for Hospital Delivery Robots with Shared Human and Infrastructure Resources
Oct 5, 2026Krzysztof Siwek, Aleksandra ŚwietlickaRobotics Human-Robot Collaboration
Faculty of Electrical Engineering Warsaw University of Technology Koszykowa 75, 00-662 Warszawa · Faculty of Control, Robotics and Electrical Engineering Poznań University of Technology Piotrowo 3a, 61-138 Poznan
CoDance: Learning Reactive and Compliant Human-Humanoid Interaction from Video
Oct 4, 2026Zhuoqun Chen, Shucheng Jia, Boyuan ChenRobotic Control Humanoid Robot Locomotion
Duke University
Real-Time Human-Adaptive Task Allocation for Multi-Human Multi-Robot Supervision
Oct 1, 2026Seabin Lee, Sujeong Park, Nayoung Kim +3Human-Robot Collaboration Multi-Robot Task Allocation
Sogang University, Seoul, Korea. 1Dept. of Electronic Engineering. · Sogang University, Seoul, Korea. 2Dept. of Artificial Intelligence.
RoboAssist: Interactive Human-Humanoid Planning for Long-Horizon Surgical Assistance
Sep 30, 2026Jingwei Jia, Keyu Zhou, Jiewei Wang +7Robot Safety Human-Robot Collaboration
Hangzhou Dianzi University, China. · Zhejiang University, China. · New York University, USA. +1
CoBrush: A Hierarchical Planning Framework for Human-Robot Co-Painting
Sep 28, 2026Dantong Qin, Yike Guo, Qinlin Liu +2Human-Robot Collaboration Robot Task Planning
Faculty of Industrial Design Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands · Department of Computer Science and Engineering, Electronic and Computer Engineering, Hong Kong University of Science and Technology, Kowloon Hong Kong
Trajectory-Safe Orienteering for Human-Robot Shared Environments
Sep 28, 2026Songqun Gao, Elena Basei, Marco Roveri +2Trajectory Generation Robot Safety
Department of Industrial Engineering, Universit`a di Trento, Trento, Italy. · Interdepartmental Robotics Labs (IDRA), University of Trento, Trento, Italy · Department of Information Engineering and Computer Science, Universit`a di Trento, Trento, Italy.
AI-Driven Collaborative Assembly Line Inspection: System Integration and Deployment Challenges
Sep 27, 2026Asya Ünal, Amr Okasha, Ege Çırakman +1Robotic Inspection Industrial Inspection
Department of Research and Development, TEKNOPAR, Ankara, Türkiye
Communication-Aware Heterogeneous Graph Learning for Decentralized Multi-Human Multi-Robot Task Allocation
Sep 26, 2026Ziqin Yuan, Ruiqi Wang, Baijian Yang +1Multi-Robot Task Allocation Human-Robot Collaboration
Purdue University, West Lafayette, IN, USA. · Indiana University Bloomington, Bloomington, IN, USA.
Proactive Motion Planning for Human-Robot Cooperation
Sep 26, 2026Elena Basei, Edoardo Lamon, Matteo Saveriano +2Human-Robot Collaboration Safe Motion Planning
Department of Information Engineering and Computer Science, Universit`a di Trento, Trento, Italy. · Interdepartmental Robotics Labs (IDRA), University of Trento, Trento, Italy · Department of Industrial Engineering, Universit`a di Trento, Trento, Italy.
Human Motion Prediction for Human-Robot Collaboration
Sep 26, 2026Placido Falqueto, Elena Basei, Edoardo Lamon +4Human Motion Prediction Human-Robot Collaboration
Dept. of Information Engineering and Computer Science (DISI), University of Trento, Trento, Italy · Department of Industrial Engineering (DII), University of Trento, Trento, Italy
Augmented Reality Interfaces for Human-Robot Collaboration: Development of a ROS 2-Based Sensor Streaming Framework and Validation via SLAM Algorithms
Sep 25, 2026Alessandro Rubert, Stefano Ghidoni, Matteo TerreranRobotics Human-Robot Collaboration
DEPARTMENT OF INFORMATION ENGINEERING
Working with AI: A Design Framework for Human-AI Collaboration
Sep 25, 2026Yuqian Lu, Regina Lee, Rui Zhou +3Human-AI Collaboration Human-Centered AI
Industrial Artificial Intelligence Group, The University of Auckland
Towards Intent-Aware Human-Robot Teaming: A Platform for Search-and-Rescue Operations
Sep 22, 2026Rohith Prem Maben, Ayesha Jena, Björn Olofsson +4Human-Robot Collaboration Search-and-Rescue Robotics
Dept. of Aviation and Aeronautical Sciences, Lund Univ., Sweden · Dept. of Computer Science, Lund Univ., Sweden · Dept. of Automatic Control, Lund Univ., Sweden +1
Safety-Constrained Model Predictive Control for an Omnidirectional Walking Assistive Robot Using Control Barrier Function
Sep 22, 2026Andrea Fortuna, Marta Lorenzini, Elisa Motta +3Energy-Efficient Robot Locomotion Control Barrier Functions
Human-Robot Interfaces and Interaction Laboratory, Istituto Italiano di Tecnologia, Genoa, Italy · Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy · Dep. of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Rome, Italy
Capability-Aware Arbitration for Semantic Intent-Based Shared Control
Sep 21, 2026Zhaoda Du, Michael Bowman, Xiaoli ZhangUncertainty Estimation for VLA Models Human-Robot Collaboration
Colorado School of Mines, Golden, CO 80401, USA. · University of Pennsylvania, Philadelphia, PA 19104, USA.
Learning from Humans for Proactive Assistance in Human-Robot Collaborative Transport
Sep 21, 2026Elvin Yang, Christoforos MavrogiannisRobotic Control Human-Robot Collaboration
Department of Robotics, University of Michigan, Ann Arbor, United States
Learning to Plan in Human-Robot Collaboration: Multimodal Reinforcement Learning for Adaptive Interaction
Sep 21, 2026Afagh Mehri Shervedani, Siyu Li, Natawut Monaikul +3Reinforcement Learning Robotic RL
University of Illinois Chicago, Chicago, IL 60607 USA · California State University Channel Islands
Toward Human-in-the-Loop Robot Failure Recovery: Bridging Communication Gaps in Human-Robot Collaboration
Sep 21, 2026Promise Ekpo, Teju Vijay, Dhruv Mandalik +5Human-in-the-Loop Evaluation Robot Failure Recovery
Cornell University, New York, New York, USA · Cornell Tech, New York, New York, USA · Brown University, Providence, Rhode Island, USA
Visual Proactivity: Enhancing Human-Robot Collaboration Through Intent Communication
Sep 18, 2026Valerio Bo, Edison Bejarano, Anaís Garrell +1Human-Robot Interaction Human-Robot Collaboration
Institut de Robotica y Informatica Industrial (CSIC-UPC) and Universitat Politecnica de Catalunya - BarcelonaTech (UPC), Barcelona, Spain

Oct 13, 2026J/K move · Enter open · S save

Neuro-Symbolic Graph Transformers for Hierarchical Intention Recognition from Multimodal Human Activity Sequences

Farnaz Soleimani, Abdelghani Chibani, Yacine Amirat, Ghazaleh Khodabandelou

LISSI · LISSI Laboratory, University of Paris-Est Cr´eteil (UPEC), 122 Rue Paul Armangot, Vitry-sur-Seine, 94400, France.

Human Activity Recognition Graph Transformer Neuro-Symbolic Reasoning Human-Robot Collaboration

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Proactive human-robot collaboration requires autonomous systems to infer not only immediate actions but also the underlying hierarchical intentions governing human behavior. Current deep learning approaches predominantly focus on flat action classification, failing to capture the structural dependencies connecting kinematic motion to high-level goals. A Neuro-Symbolic Graph Transformer (NSGT) is proposed within this multimodal framework, a Human Reasoning Graph (HR-G) is integrated into the self-attention mechanism via learnable topological biases. Furthermore, the architecture is augmented with a differentiable First-Order Logic (FOL) loss, acting as a structural regularizer by which ontological consistency is enforced across four levels: atomic actions, composite activities, Low-Level Intentions, and High-Level Intentions. Evaluation is performed on the synthesized NTU-Hierarchy dataset, a four-level ontological extension of NTU RGB+D 120, wherein existing sequences were mapped into 119,383 complex hierarchical episodes (85 actions, 16 activities, 8 LLIs, 4 HLIs). To prevent circular supervision, strict isolation between label generation and FOL constraints was maintained. In the base configuration, 91.65% top-1 action accuracy is achieved by the NSGT. When the FOL loss is incorporated into the baseline, logic consistency is improved by 3.26 percentage points to 96.67%. Through the HR-G biases, a tunable trade-off between accuracy and structural coherence is established. In the primary consistency-maximizing configuration (

λ

= 0.5), a logic consistency of 94.59% is reached and ontological contradictions are reduced by 33%, while a robust 89.90% top-1 action accuracy is retained. Finally, interpretable reasoning evidence is provided by the learned HR-G weights, wherein transition edges are strongly exploited (

β

trans

\approx

+2.6) without explicit supervision.