Simon Stepputtis

438 citations

20 papers · 213 indexed · 1 hit paper · h-index 8

Impact in

Control and Systems Engineering top 10%
- Robot Manipulation and Learning
Computer Vision and Pattern Recognition top 10%
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition

Papers in ⓘ

Artificial Intelligence 10
- Reinforcement Learning in Robotics 4
- Natural Language Processing Techniques 3
- Topic Modeling 3
Control and Systems Engineering 9
- Robot Manipulation and Learning 9
- Human Motion and Animation 2

Co-authors: Heni Ben Amor (9 shared papers)Bernhard Jung (3 shared papers)David Vogt (3 shared papers)Katia Sycara (10 shared papers)Chitta Baral (1 shared paper)Stefan Lee (1 shared paper)Yaqi Xie (5 shared papers)Joseph Campbell (7 shared papers)
Journals: IEEE Robotics and Automation Letters (2 papers)Autonomous Robots (2 papers)PNAS Nexus (1 paper)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)neural information processing systems (1 paper)
Partner nations: United States Germany China

In The Last Decade

Simon Stepputtis

17 papers receiving 202 citations

Hit Papers

align trajectories log scale

Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation 2025 · 23 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2025 Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation

Peers

Countries citing papers authored by Simon Stepputtis

Since Specialization

Citations

This map shows the geographic impact of Simon Stepputtis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simon Stepputtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Stepputtis more than expected).

Fields of papers citing papers by Simon Stepputtis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Stepputtis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simon Stepputtis. The network helps show where Simon Stepputtis may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon Stepputtis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Stepputtis Line = papers co-authored together Simon Stepputtis links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	A system for learning continuous human-robot interactions from human-human demonstrations David Vogt, Simon Stepputtis, Steve Grehl, Bernhard Jung, Heni Ben Amor	2017	48
2	Language-Conditioned Imitation Learning for Robot Manipulation Tasks neural information processing systems ·Simon Stepputtis, Joseph Campbell, Mariano Phielipp, Stefan Lee, Chitta Baral, Heni Ben Amor	2020	38
3	Theory of Mind for Multi-Agent Collaboration via Large Language Models Huao Li, Chong Yu, Simon Stepputtis, Joseph Campbell, Dana Hughes, Charles Lewis, Katia Sycara	2023	27
4	Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation Zifu Wan, Pingping Zhang, Yuhao Wang, Silong Yong, Simon Stepputtis, Katia Sycara, Yaqi Xie Hit paper breakdown →	2025	23
5	One-shot learning of human–robot handovers with triadic interaction meshes Autonomous Robots ·David Vogt, Simon Stepputtis, Bernhard Jung, Heni Ben Amor	2018	19
6	Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks Joseph Campbell, Simon Stepputtis, Heni Ben Amor	2019	16
7	A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ·Simon Stepputtis, Maryam Bandari, Stefan Schaal, Heni Ben Amor	2022	10
8	Extrinsic Dexterity Through Active Slip Control Using Deep Predictive Models Simon Stepputtis, Yezhou Yang, Heni Ben Amor	2018	8
9	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	2016	6
10	A Comparison of Imitation Learning Algorithms for Bimanual Manipulation IEEE Robotics and Automation Letters ·Michael Drolet, Simon Stepputtis, Siva Kailas, Ajinkya Jain, Jan Peters, Stefan Schaal, Heni Ben Amor	2024	4
11	Explainable Action Advising for Multi-Agent Reinforcement Learning Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia Sycara	2023	3
12	HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation Ce Zhang, Simon Stepputtis, Joseph Campbell, Katia Sycara, Yaqi Xie	2024	3
13	ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition Samuel Li, Sarthak Bhagat, Joseph Campbell, Yaqi Xie, Woojun Kim, Katia Sycara, Simon Stepputtis	2024	3
14	Learning modular language-conditioned robot policies through attention Autonomous Robots ·Yifan Zhou, Shubham Sonawani, Mariano Phielipp, Heni Ben Amor, Simon Stepputtis	2023	2
15	Neurosymbolic AI as an antithesis to scaling laws PNAS Nexus ·Alvaro Velasquez, Neel P. Bhatt, Ufuk Topcu, Zhangyang Wang, Katia Sycara, Simon Stepputtis, Sandeep Neema, Gautam K. Vallabha	2025	1
16	Let Me Help You! Neuro-Symbolic Short-Context Action Anticipation IEEE Robotics and Automation Letters ·Sarthak Bhagat, Samuel Li, Joseph Campbell, Yaqi Xie, Katia Sycara, Simon Stepputtis	2024	1
17	Enhancing Vision-Language Few-Shot Adaptation with Negative Learning Ce Zhang, Simon Stepputtis, Katia Sycara, Yaqi Xie	2025	1
18	Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models Muhan Lin, Shuyang Shi, Yue Leon Guo, Behdad Chalaki, Vaishnav Tadiparthi, Ehsan Moradi Pari, Simon Stepputtis, Joseph Campbell, Katia Sycara	2024	0
19	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 Zhang, Ruiyi Wang, Sanketh Rangreji, Charles Lewis, Katia Sycara	2023	0
20	Spectral-aware Global Fusion for RGB-Thermal Semantic Segmentation Ce Zhang, Zifu Wan, Simon Stepputtis, Katia Sycara, Yaqi Xie	2025	0

About Simon Stepputtis

Simon Stepputtis is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Social Psychology and Mechanical Engineering, having authored 20 papers that have together received 213 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (9 papers), Multimodal Machine Learning Applications (4 papers), Reinforcement Learning in Robotics (4 papers), Natural Language Processing Techniques (3 papers), Human Pose and Action Recognition (3 papers), Topic Modeling (3 papers), Teleoperation and Haptic Systems (2 papers) and Human Motion and Animation (2 papers). The work is most often cited by research in Control and Systems Engineering (112 citations), Computer Vision and Pattern Recognition (60 citations), Human-Computer Interaction (14 citations), Artificial Intelligence (78 citations) and Health Informatics (2 citations). Simon Stepputtis has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Heni Ben Amor, Bernhard Jung, David Vogt, Katia Sycara, Chitta Baral, Stefan Lee, Yaqi Xie, Joseph Campbell, Chong Yu and Charles Lewis. Their work appears in journals such as IEEE Robotics and Automation Letters, Autonomous Robots, PNAS Nexus, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and neural information processing systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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