Learning human-robot interactions from human-human demonstrations (with applications in Lego rocket assembly). - David Vogt; Simon Stepputtis; Richard Weinhold; Bernhard Jung 001; Heni Ben Amor (Humanoids, 2016)

A system for learning continuous human-robot interactions from human-human demonstrations. - David Vogt; Simon Stepputtis; Steve Grehl; Bernhard Jung 001; Heni Ben Amor (ICRA, 2017)

Extrinsic Dexterity Through Active Slip Control Using Deep Predictive Models. - Simon Stepputtis; Yezhou Yang; Heni Ben Amor (ICRA, 2018)

One-shot learning of human-robot handovers with triadic interaction meshes. - David Vogt; Simon Stepputtis; Bernhard Jung 001; Heni Ben Amor (Auton. Robots, 2018)

Learning Interactive Behaviors for Musculoskeletal Robots Using Bayesian Interaction Primitives. - Joseph Campbell; Arne Hitzmann; Simon Stepputtis; Shuhei Ikemoto; Koh Hosoda; Heni Ben Amor (IROS, 2019)

Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient. - Kevin Sebastian Luck; Mel Vecerík; Simon Stepputtis; Heni Ben Amor; Jonathan Scholz (IROS, 2019)

Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks. - Joseph Campbell; Simon Stepputtis; Heni Ben Amor (Robotics: Science and Systems, 2019)

Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration. - Simon Stepputtis; Joseph Campbell; Mariano J. Phielipp; Chitta Baral; Heni Ben Amor (CoRR, 2019)

Language-Conditioned Imitation Learning for Robot Manipulation Tasks. - Simon Stepputtis; Joseph Campbell; Mariano J. Phielipp; Stefan Lee; Chitta Baral; Heni Ben Amor (NeurIPS, 2020)

Concept Learning for Interpretable Multi-Agent Reinforcement Learning. - Renos Zabounidis; Joseph Campbell; Simon Stepputtis; Dana Hughes 001; Katia P. Sycara (CoRL, 2022)

Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation. - Yifan Zhou; Shubham D. Sonawani; Mariano J. Phielipp; Simon Stepputtis; Heni Ben Amor (CoRL, 2022)

A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies. - Simon Stepputtis; Maryam Bandari; Stefan Schaal; Heni Ben Amor (IROS, 2022)

Sample-Efficient Learning of Novel Visual Concepts. - Sarthak Bhagat; Simon Stepputtis; Joseph Campbell; Katia P. Sycara (CoLLAs, 2023)

Introspective Action Advising for Interpretable Transfer Learning. - Joseph Campbell; Yue Guo 003; Fiona Xie; Simon Stepputtis; Katia P. Sycara (CoLLAs, 2023)

Theory of Mind for Multi-Agent Collaboration via Large Language Models. - Huao Li; Yu Quan Chong; Simon Stepputtis; Joseph Campbell; Dana Hughes 001; Charles Lewis; Katia P. Sycara (EMNLP, 2023)

Long-Horizon Dialogue Understanding for Role Identification in the Game of Avalon with Large Language Models. - Simon Stepputtis; Joseph Campbell; Yaqi Xie 001; Zhengyang Qi; Wenxin Sharon Zhang; Ruiyi Wang; Sanketh Rangreji; Charles Lewis; Katia P. Sycara (EMNLP (Findings), 2023)

Explainable Action Advising for Multi-Agent Reinforcement Learning. - Yue Guo 003; Joseph Campbell; Simon Stepputtis; Ruiyu Li; Dana Hughes 001; Fei Fang 001; Katia P. Sycara (ICRA, 2023)

Characterizing Out-of-Distribution Error via Optimal Transport. - Yuzhe Lu; Yilong Qin; Runtian Zhai; Andrew Shen; Ketong Chen; Zhenlin Wang; Soheil Kolouri; Simon Stepputtis; Joseph Campbell; Katia P. Sycara (NeurIPS, 2023)

A Framework for Intervention Based Team Support in Time Critical Tasks. - Dana Hughes 001; Huao Li; Max Chis; Ini Oguntola; Simon Stepputtis; Keyang Zheng; Joseph Campbell; Katia P. Sycara; Michael Lewis 001 (SMC, 2023)

Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning. - Ini Oguntola; Joseph Campbell; Simon Stepputtis; Katia P. Sycara (CoRR, 2023)

Knowledge-Guided Short-Context Action Anticipation in Human-Centric Videos. - Sarthak Bhagat; Simon Stepputtis; Joseph Campbell; Katia P. Sycara (CoRR, 2023)

Explaining Agent Behavior with Large Language Models. - Xijia Zhang; Yue Guo 003; Simon Stepputtis; Katia P. Sycara; Joseph Campbell (CoRR, 2023)

Theory of Mind for Multi-Agent Collaboration via Large Language Models. - Huao Li; Yu Quan Chong; Simon Stepputtis; Joseph Campbell; Dana Hughes 001; Michael Lewis 001; Katia P. Sycara (CoRR, 2023)

Long-Horizon Dialogue Understanding for Role Identification in the Game of Avalon with Large Language Models. - Simon Stepputtis; Joseph Campbell; Yaqi Xie 001; Zhengyang Qi; Wenxin Sharon Zhang; Ruiyi Wang; Sanketh Rangreji; Michael Lewis 001; Katia P. Sycara (CoRR, 2023)

Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation. - Xijia Zhang; Yue Guo 003; Simon Stepputtis; Katia P. Sycara; Joseph Campbell (CoRR, 2023)

Benchmarking and Enhancing Disentanglement in Concept-Residual Models. - Renos Zabounidis; Ini Oguntola; Konghao Zhao; Joseph Campbell; Simon Stepputtis; Katia P. Sycara (CoRR, 2023)

Learning modular language-conditioned robot policies through attention. - Yifan Zhou; Shubham D. Sonawani; Mariano J. Phielipp; Heni Ben Amor; Simon Stepputtis (Auton. Robots, 2023)

Adaptive Action Advising with Different Rewards. - Yue Guo 003; Xijia Zhang; Simon Stepputtis; Joseph Campbell; Katia P. Sycara (CoLLAs, 2024)

HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation. - Ce Zhang 009; Simon Stepputtis; Joseph Campbell; Katia P. Sycara; Yaqi Xie 001 (CVPR, 2024)

Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models. - Muhan Lin; Shuyang Shi; Yue Guo 003; Behdad Chalaki; Vaishnav Tadiparthi; Ehsan Moradi-Pari; Simon Stepputtis; Joseph Campbell; Katia P. Sycara (EMNLP (Findings), 2024)

ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition. - Samuel Li; Sarthak Bhagat; Joseph Campbell; Yaqi Xie 001; Woojun Kim; Katia P. Sycara; Simon Stepputtis (IROS, 2024)

Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models. - Ce Zhang 009; Simon Stepputtis; Katia P. Sycara; Yaqi Xie 001 (NeurIPS, 2024)

LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation. - Bowen Li 007; Zhaoyu Li; Qiwei Du; Jinqi Luo; Wenshan Wang; Yaqi Xie 001; Simon Stepputtis; Chen Wang 033; Katia P. Sycara; Pradeep Ravikumar; Alexander G. Gray; Xujie Si; et al. (NeurIPS, 2024)

GL-NeRF: Gauss-Laguerre Quadrature Enables Training-Free NeRF Acceleration. - Silong Yong; Yaqi Xie 001; Simon Stepputtis; Katia P. Sycara (NeurIPS, 2024)

Negative Yields Positive: Unified Dual-Path Adapter for Vision-Language Models. - Ce Zhang 009; Simon Stepputtis; Katia P. Sycara; Yaqi Xie 001 (CoRR, 2024)

Multi-Agent Transfer Learning via Temporal Contrastive Learning. - Weihao Zeng; Joseph Campbell; Simon Stepputtis; Katia P. Sycara (CoRR, 2024)

Symbolic Graph Inference for Compound Scene Understanding. - FNU Aryan; Simon Stepputtis; Sarthak Bhagat; Joseph Campbell; Kwonjoon Lee; Hossein Nourkhiz Mahjoub; Katia P. Sycara (CoRR, 2024)

HiMemFormer: Hierarchical Memory-Aware Transformer for Multi-Agent Action Anticipation. - Zirui Wang; Xinran Zhao; Simon Stepputtis; Woojun Kim; Tongshuang Wu; Katia P. Sycara; Yaqi Xie 001 (CoRR, 2024)

A Comparison of Imitation Learning Algorithms for Bimanual Manipulation. - Michael Drolet; Simon Stepputtis; Siva Kailas; Ajinkya Jain; Jan Peters 001; Stefan Schaal; Heni Ben Amor (IEEE Robotics Autom. Lett., 2024)

Let Me Help You! Neuro-Symbolic Short-Context Action Anticipation. - Sarthak Bhagat; Samuel Li; Joseph Campbell; Yaqi Xie 001; Katia P. Sycara; Simon Stepputtis (IEEE Robotics Autom. Lett., 2024)

InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning. - Zifu Wan; Yaqi Xie 001; Ce Zhang 009; Zhiqiu Lin; Zihan Wang; Simon Stepputtis; Deva Ramanan; Katia P. Sycara (ACL (1), 2025)

Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models. - Ce Zhang 009; Zifu Wan; Zhehan Kan; Martin Q. Ma; Simon Stepputtis; Deva Ramanan; Russ Salakhutdinov; Louis-Philippe Morency; Katia P. Sycara; Yaqi Xie 001 (ICLR, 2025)

OMG: Opacity Matters in Material Modeling with Gaussian Splatting. - Silong Yong; Venkata Nagarjun Pudureddiyur Manivannan; Bernhard Kerbl; Zifu Wan; Simon Stepputtis; Katia P. Sycara; Yaqi Xie 001 (ICLR, 2025)

Enhancing Vision-Language Few-Shot Adaptation with Negative Learning. - Ce Zhang 009; Simon Stepputtis; Katia P. Sycara; Yaqi Xie 001 (WACV, 2025)

Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation. - Zifu Wan; Pingping Zhang; Yuhao Wang; Silong Yong; Simon Stepputtis; Katia P. Sycara; Yaqi Xie 001 (WACV, 2025)

Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning. - Muhan Lin; Shuyang Shi; Yue Guo 003; Vaishnav Tadiparthi; Behdad Chalaki; Ehsan Moradi-Pari; Simon Stepputtis; Woojun Kim; Joseph Campbell; Katia P. Sycara (CoRR, 2025)

Model-Agnostic Policy Explanations with Large Language Models. - Zhang Xi-Jia; Yue Guo 003; Shufei Chen; Simon Stepputtis; Matthew C. Gombolay; Katia P. Sycara; Joseph Campbell (CoRR, 2025)

Spectral-Aware Global Fusion for RGB-Thermal Semantic Segmentation. - Ce Zhang 009; Zifu Wan; Simon Stepputtis; Katia P. Sycara; Yaqi Xie 001 (CoRR, 2025)

Bayesian Social Deduction with Graph-Informed Language Models. - Shahab Rahimirad; Guven Gergerli; Lucia Romero; Angela Qian; Matthew Lyle Olson; Simon Stepputtis; Joseph Campbell (CoRR, 2025)

ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models. - Zifu Wan; Ce Zhang 009; Silong Yong; Martin Q. Ma; Simon Stepputtis; Louis-Philippe Morency; Deva Ramanan; Katia P. Sycara; Yaqi Xie 001 (CoRR, 2025)

Modeling Latent Partner Strategies for Adaptive Zero-Shot Human-Agent Collaboration. - Benjamin Li; Shuyang Shi; Lucia Romero; Huao Li; Yaqi Xie 001; Woojun Kim; Stefanos Nikolaidis; Michael Lewis 001; Katia P. Sycara; Simon Stepputtis (CoRR, 2025)