Simon Stepputtis

According to our database, Simon Stepputtis authored at least 40 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Let Me Help You! Neuro-Symbolic Short-Context Action Anticipation.

Sarthak Bhagat, Samuel Li, Joseph Campbell, Yaqi Xie, Katia P. Sycara, Simon Stepputtis

IEEE Robotics Autom. Lett., November, 2024

A Comparison of Imitation Learning Algorithms for Bimanual Manipulation.

Michael Drolet, Simon Stepputtis, Siva Kailas, Ajinkya Jain, Jan Peters, Stefan Schaal, Heni Ben Amor

IEEE Robotics Autom. Lett., October, 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

CoRR, 2024

LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation.

Bowen Li, Zhaoyu Li, Qiwei Du, Jinqi Luo, Wenshan Wang, Yaqi Xie, Simon Stepputtis, Chen Wang, Katia P. Sycara, Pradeep Kumar Ravikumar, Alexander G. Gray, Xujie Si, Sebastian A. Scherer

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

GL-NeRF: Gauss-Laguerre Quadrature Enables Training-Free NeRF Acceleration.

Silong Yong, Yaqi Xie, Simon Stepputtis, Katia P. Sycara

CoRR, 2024

Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models.

Ce Zhang, Simon Stepputtis, Katia P. Sycara, Yaqi Xie

CoRR, 2024

Multi-Agent Transfer Learning via Temporal Contrastive Learning.

Weihao Zeng, Joseph Campbell, Simon Stepputtis, Katia P. Sycara

CoRR, 2024

Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation.

Zifu Wan, Yuhao Wang, Silong Yong, Pingping Zhang, Simon Stepputtis, Katia P. Sycara, Yaqi Xie

CoRR, 2024

ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition.

Samuel Li, Sarthak Bhagat, Joseph Campbell, Yaqi Xie, Woojun Kim, Katia P. Sycara, Simon Stepputtis

CoRR, 2024

Negative Yields Positive: Unified Dual-Path Adapter for Vision-Language Models.

Ce Zhang, Simon Stepputtis, Katia P. Sycara, Yaqi Xie

CoRR, 2024

Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models.

Muhan Lin, Shuyang Shi, Yue Guo, Behdad Chalaki, Vaishnav Tadiparthi, Ehsan Moradi-Pari, Simon Stepputtis, Joseph Campbell, Katia P. Sycara

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation.

Ce Zhang, Simon Stepputtis, Joseph Campbell, Katia P. Sycara, Yaqi Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Learning modular language-conditioned robot policies through attention.

Yifan Zhou, Shubham D. Sonawani, Mariano J. Phielipp, Heni Ben Amor, Simon Stepputtis

Auton. Robots, December, 2023

Benchmarking and Enhancing Disentanglement in Concept-Residual Models.

Renos Zabounidis, Ini Oguntola, Konghao Zhao, Joseph Campbell, Simon Stepputtis, Katia P. Sycara

CoRR, 2023

Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation.

Xijia Zhang, Yue Guo, Simon Stepputtis, Katia P. Sycara, Joseph Campbell

CoRR, 2023

Long-Horizon Dialogue Understanding for Role Identification in the Game of Avalon with Large Language Models.

Simon Stepputtis, Joseph Campbell, Yaqi Xie, Zhengyang Qi, Wenxin Sharon Zhang, Ruiyi Wang, Sanketh Rangreji, Michael Lewis, Katia P. Sycara

CoRR, 2023

Theory of Mind for Multi-Agent Collaboration via Large Language Models.

Huao Li, Yu Quan Chong, Simon Stepputtis, Joseph Campbell, Dana Hughes, Michael Lewis, Katia P. Sycara

CoRR, 2023

Explaining Agent Behavior with Large Language Models.

Xijia Zhang, Yue Guo, Simon Stepputtis, Katia P. Sycara, Joseph Campbell

CoRR, 2023

Knowledge-Guided Short-Context Action Anticipation in Human-Centric Videos.

Sarthak Bhagat, Simon Stepputtis, Joseph Campbell, Katia P. Sycara

CoRR, 2023

Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning.

Ini Oguntola, Joseph Campbell, Simon Stepputtis, Katia P. Sycara

CoRR, 2023

A Framework for Intervention Based Team Support in Time Critical Tasks.

Dana Hughes, Huao Li, Max Chis, Ini Oguntola, Simon Stepputtis, Keyang Zheng, Joseph Campbell, Katia P. Sycara, Michael Lewis

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Explainable Action Advising for Multi-Agent Reinforcement Learning.

Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia P. Sycara

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Long-Horizon Dialogue Understanding for Role Identification in the Game of Avalon with Large Language Models.

Simon Stepputtis, Joseph Campbell, Yaqi Xie, Zhengyang Qi, Wenxin Sharon Zhang, Ruiyi Wang, Sanketh Rangreji, Charles Lewis, Katia P. Sycara

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Theory of Mind for Multi-Agent Collaboration via Large Language Models.

Huao Li, Yu Quan Chong, Simon Stepputtis, Joseph Campbell, Dana T. Hughes, Charles Lewis, Katia P. Sycara

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Introspective Action Advising for Interpretable Transfer Learning.

Joseph Campbell, Yue Guo, Fiona Xie, Simon Stepputtis, Katia P. Sycara

Proceedings of the Conference on Lifelong Learning Agents, 2023

Sample-Efficient Learning of Novel Visual Concepts.

Sarthak Bhagat, Simon Stepputtis, Joseph Campbell, Katia P. Sycara

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies.

Simon Stepputtis, Maryam Bandari, Stefan Schaal, Heni Ben Amor

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the Conference on Robot Learning, 2022

Concept Learning for Interpretable Multi-Agent Reinforcement Learning.

Renos Zabounidis, Joseph Campbell, Simon Stepputtis, Dana Hughes, Katia P. Sycara

Proceedings of the Conference on Robot Learning, 2022

2020

Language-Conditioned Imitation Learning for Robot Manipulation Tasks.

Simon Stepputtis, Joseph Campbell, Mariano J. Phielipp, Stefan Lee, Chitta Baral, Heni Ben Amor

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks.

Joseph Campbell, Simon Stepputtis, Heni Ben Amor

Proceedings of the Robotics: Science and Systems XV, 2019

Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient.

Kevin Sebastian Luck, Mel Vecerík, Simon Stepputtis, Heni Ben Amor, Jonathan Scholz

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning Interactive Behaviors for Musculoskeletal Robots Using Bayesian Interaction Primitives.

Joseph Campbell, Arne Hitzmann, Simon Stepputtis, Shuhei Ikemoto, Koh Hosoda, Heni Ben Amor

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

One-shot learning of human-robot handovers with triadic interaction meshes.

David Vogt, Simon Stepputtis, Bernhard Jung, Heni Ben Amor

Auton. Robots, 2018

Extrinsic Dexterity Through Active Slip Control Using Deep Predictive Models.

Simon Stepputtis, Yezhou Yang, Heni Ben Amor

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

A system for learning continuous human-robot interactions from human-human demonstrations.

David Vogt, Simon Stepputtis, Steve Grehl, Bernhard Jung, Heni Ben Amor

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Learning human-robot interactions from human-human demonstrations (with applications in Lego rocket assembly).

David Vogt, Simon Stepputtis, Richard Weinhold, Bernhard Jung, Heni Ben Amor

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016