Thomas Kollar

According to our database, Thomas Kollar authored at least 58 papers between 2002 and 2024.

Collaborative distances:

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

2024

How Generalizable is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation.

Joseph A. Vincent, Haruki Nishimura, Masha Itkina, Paarth Shah, Mac Schwager, Thomas Kollar

IEEE Robotics Autom. Lett., October, 2024

Language-Embedded Gaussian Splats (LEGS): Incrementally Building Room-Scale Representations with a Mobile Robot.

Justin Yu, Kush Hari, Kishore Srinivas, Karim El-Refai, Adam Rashid, Chung Min Kim, Justin Kerr, Richard Cheng, Muhammad Zubair Irshad, Ashwin Balakrishna, Thomas Kollar, Ken Goldberg

CoRR, 2024

DataComp-LM: In search of the next generation of training sets for language models.

Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar

CoRR, 2024

OpenVLA: An Open-Source Vision-Language-Action Model.

Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan Paul Foster, Grace Lam, Pannag Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn

CoRR, 2024

Linearizing Large Language Models.

Jean Mercat, Igor Vasiljevic, Sedrick Keh, Kushal Arora, Achal Dave, Adrien Gaidon, Thomas Kollar

CoRR, 2024

Language models scale reliably with over-training and on downstream tasks.

Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Jenia Jitsev, Alexandros G. Dimakis, Gabriel Ilharco, Shuran Song, Thomas Kollar, Yair Carmon, Achal Dave, Reinhard Heckel, Niklas Muennighoff, Ludwig Schmidt

CoRR, 2024

A Critical Evaluation of AI Feedback for Aligning Large Language Models.

Archit Sharma, Sedrick Keh, Eric Mitchell, Chelsea Finn, Kushal Arora, Thomas Kollar

CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models.

Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna, Percy Liang, Thomas Kollar, Dorsa Sadigh

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

The Teenager's Problem: Efficient Garment Decluttering With Grasp Optimization.

Aviv Adler, Ayah Ahmad, Shengyin Wang, Wisdom C. Agboh, Edith LLontop, Tianshuang Qiu, Jeffrey Ichnowski, Mehmet Remzi Dogar, Thomas Kollar, Richard Cheng, Ken Goldberg

CoRR, 2023

Learning to Trace and Untangle Semi-planar Knots (TUSK).

Vainavi Viswanath, Kaushik Shivakumar, Jainil Ajmera, Mallika Parulekar, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg

CoRR, 2023

Language-Driven Representation Learning for Robotics.

Siddharth Karamcheti, Suraj Nair, Annie S. Chen, Thomas Kollar, Chelsea Finn, Dorsa Sadigh, Percy Liang

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Bagging by Learning to Singulate Layers Using Interactive Perception.

Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg

IROS, 2023

SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception.

Kaushik Shivakumar, Vainavi Viswanath, Anrui Gu, Yahav Avigal, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg

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

AutoBag: Learning to Open Plastic Bags and Insert Objects.

Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg

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

NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes.

Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects.

Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

HANDLOOM: Learned Tracing of One-Dimensional Objects for Inspection and Manipulation.

Vainavi Viswanath, Kaushik Shivakumar, Mallika Parulekar, Jainil Ajmera, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg

Proceedings of the Conference on Robot Learning, 2023

2022

Efficiently Learning Single-Arm Fling Motions to Smooth Garments.

Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg

Proceedings of the Robotics Research, 2022

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation.

Muhammad Zubair Irshad, Thomas Kollar, Michael Laskey, Kevin Stone, Zsolt Kira

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization.

Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo.

Thomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan, Mark Tjersland

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes.

Max Bajracharya, James Borders, Daniel M. Helmick, Thomas Kollar, Michael Laskey, John Leichty, Jeremy Ma, Umashankar Nagarajan, Akiyoshi Ochiai, Josh Petersen, Krishna Shankar, Kevin Stone, Yutaka Takaoka

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2018

The Alexa Meaning Representation Language.

Thomas Kollar, Danielle Berry, Lauren Stuart, Karolina Owczarzak, Tagyoung Chung, Lambert Mathias, Michael Kayser, Bradford Snow, Spyros Matsoukas

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Multi-Task Learning For Parsing The Alexa Meaning Representation Language.

Vittorio Perera, Tagyoung Chung, Thomas Kollar, Emma Strubell

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands.

Thomas Kollar, Stefanie Tellex, Matthew R. Walter, Albert Huang, Abraham Bachrach, Sachithra Hemachandra, Emma Brunskill, Ashis Gopal Banerjee, Deb Roy, Seth J. Teller, Nicholas Roy

CoRR, 2017

2015

Learning Task Knowledge from Dialog and Web Access.

Vittorio Perera, Robin Soetens, Thomas Kollar, Mehdi Samadi, Yichao Sun, Daniele Nardi, René van de Molengraft, Manuela M. Veloso

Robotics, 2015

2013

Clarifying commands with information-theoretic human-robot dialog.

Robin Deits, Stefanie Tellex, Pratiksha Thaker, Dimitar Simeonov, Thomas Kollar, Nicholas Roy

J. Hum. Robot Interact., 2013

Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World.

Jayant Krishnamurthy, Thomas Kollar

Trans. Assoc. Comput. Linguistics, 2013

Indoor scene recognition by a mobile robot through adaptive object detection.

Pablo Espinace, Thomas Kollar, Nicholas Roy, Alvaro Soto

Robotics Auton. Syst., 2013

Toward Interactive Grounded Language Acqusition.

Thomas Kollar, Jayant Krishnamurthy, Grant P. Strimel

Proceedings of the Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24, 2013

Learning environmental knowledge from task-based human-robot dialog.

Thomas Kollar, Vittorio Perera, Daniele Nardi, Manuela M. Veloso

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Imitation learning for natural language direction following through unknown environments.

Felix Duvallet, Thomas Kollar, Anthony Stentz

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012

A Multi-modal Approach for Natural Human-Robot Interaction.

Thomas Kollar, Anu Vedantham, Corey Sobel, Cory Chang, Vittorio Perera, Manuela M. Veloso

Proceedings of the Social Robotics - 4th International Conference, 2012

Toward Information Theoretic Human-Robot Dialog.

Stefanie Tellex, Pratiksha Thaker, Robin Deits, Thomas Kollar, Nicholas Roy

Proceedings of the Robotics: Science and Systems VIII, 2012

CoBots: Collaborative robots servicing multi-floor buildings.

Manuela M. Veloso, Joydeep Biswas, Brian Coltin, Stephanie Rosenthal, Thomas Kollar, Çetin Meriçli, Mehdi Samadi, Susana Brandão, Rodrigo Ventura

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Enabling robots to find and fetch objects by querying the web.

Thomas Kollar, Mehdi Samadi, Manuela M. Veloso

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Using the Web to Interactively Learn to Find Objects.

Mehdi Samadi, Thomas Kollar, Manuela M. Veloso

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Learning to understand spatial language for robotic navigation and mobile manipulation.

Thomas Kollar

PhD thesis, 2011

Approaching the Symbol Grounding Problem with Probabilistic Graphical Models.

Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew R. Walter, Ashis Gopal Banerjee, Seth J. Teller, Nicholas Roy

AI Mag., 2011

Following and interpreting narrated guided tours.

Sachithra Hemachandra, Thomas Kollar, Nicholas Roy, Seth J. Teller

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

HRI pioneers workshop 2011.

Thomas Kollar, Astrid Weiss, Jason Monast, Anja Austermann, David Lu, Mitesh Patel, Elena Gribovskaya, Chandan Datta, Richard Kelley, Hirotaka Osawa, Lanny Lin

Proceedings of the 6th International Conference on Human Robot Interaction, 2011

Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation.

Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew R. Walter, Ashis Gopal Banerjee, Seth J. Teller, Nicholas Roy

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Grounding Verbs of Motion in Natural Language Commands to Robots.

Thomas Kollar, Stefanie Tellex, Deb Roy, Nicholas Roy

Proceedings of the Experimental Robotics, 2010

Natural language command of an autonomous micro-air vehicle.

Albert S. Huang, Stefanie Tellex, Abraham Bachrach, Thomas Kollar, Deb Roy, Nicholas Roy

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Indoor scene recognition through object detection.

Pablo Espinace, Thomas Kollar, Alvaro Soto, Nicholas Roy

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Grounding spatial language for video search.

Stefanie Tellex, Thomas Kollar, George Shaw, Nicholas Roy, Deb Roy

Proceedings of the 12th International Conference on Multimodal Interfaces / 7. International Workshop on Machine Learning for Multimodal Interaction, 2010

Toward understanding natural language directions.

Thomas Kollar, Stefanie Tellex, Deb Roy, Nicholas Roy

Proceedings of the 5th ACM/IEEE International Conference on Human Robot Interaction, 2010

A Discriminative Model for Understanding Natural Language Route Directions.

Thomas Kollar, Stefanie Tellex, Nicholas Roy

Proceedings of the Dialog with Robots, 2010

2009

Where to go: Interpreting natural directions using global inference.

Yuan Wei, Emma Brunskill, Thomas Kollar, Nicholas Roy

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Utilizing object-object and object-scene context when planning to find things.

Thomas Kollar, Nicholas Roy

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008

Trajectory Optimization using Reinforcement Learning for Map Exploration.

Thomas Kollar, Nicholas Roy

Int. J. Robotics Res., 2008

Efficient Optimization of Information-Theoretic Exploration in SLAM.

Thomas Kollar, Nicholas Roy

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Collision detection in legged locomotion using supervised learning.

Finale Doshi, Emma Brunskill, Alexander C. Shkolnik, Thomas Kollar, Khashayar Rohanimanesh, Russ Tedrake, Nicholas Roy

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Topological mapping using spectral clustering and classification.

Emma Brunskill, Thomas Kollar, Nicholas Roy

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

2006

Using Reinforcement Learning to Improve Exploration Trajectories for Error Minimization.

Thomas Kollar, Nicholas Roy

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2003

Mabel: Extending Human Interaction and Robot Rescue Design.

Thomas Kollar, Jonathan Schmid, Eric M. Meisner, Micha Elsner, Diana Calarese, Chikita Purav, Chris Brown, Jenine Turner, Dasun Peramunage, Gautam Altekar, Victoria Sweetser

Proceedings of the AAAI Mobile Robot Competition 2003, Papers from the AAAI Workshop, 2003

2002

Mabel: Building a Robot Designed for Human Interaction.

Jonathan Schmid, Thomas Kollar, Eric M. Meisner, Victoria Sweetser, David Feil-Seifer, Chris Brown, Ben Atwood, Jenine Turner, Diana Calarese, Scott Cragg, Habib Chaudhary, Mike Isman

Proceedings of the AAAI Mobile Robot Competition 2002, Papers from the AAAI Workshop, 28 July, 2002