Mabel: Building a Robot Designed for Human Interaction. - Jonathan Schmid; Thomas Kollar; Eric M. Meisner; Victoria Sweetser; David Feil-Seifer; Chris Brown 004; Ben Atwood; Jenine Turner; Diana Calarese; Scott Cragg; Habib Chaudhary; Mike Isman (AAAI Mobile Robot Competition, 2002)

Mabel: Extending Human Interaction and Robot Rescue Design. - Thomas Kollar; Jonathan Schmid; Eric M. Meisner; Micha Elsner; Diana Calarese; Chikita Purav; Chris Brown 004; Jenine Turner; Dasun Peramunage; Gautam Altekar; Victoria Sweetser (AAAI Mobile Robot Competition, 2003)

Using Reinforcement Learning to Improve Exploration Trajectories for Error Minimization. - Thomas Kollar; Nicholas Roy (ICRA, 2006)

Topological mapping using spectral clustering and classification. - Emma Brunskill; Thomas Kollar; Nicholas Roy (IROS, 2007)

Collision detection in legged locomotion using supervised learning. - Finale Doshi; Emma Brunskill; Alexander C. Shkolnik; Thomas Kollar; Khashayar Rohanimanesh; Russ Tedrake; Nicholas Roy (IROS, 2007)

Efficient Optimization of Information-Theoretic Exploration in SLAM. - Thomas Kollar; Nicholas Roy (AAAI, 2008)

Trajectory Optimization using Reinforcement Learning for Map Exploration. - Thomas Kollar; Nicholas Roy (Int. J. Robotics Res., 2008)

Utilizing object-object and object-scene context when planning to find things. - Thomas Kollar; Nicholas Roy (ICRA, 2009)

Where to go: Interpreting natural directions using global inference. - Yuan Wei; Emma Brunskill; Thomas Kollar; Nicholas Roy (ICRA, 2009)

A Discriminative Model for Understanding Natural Language Route Directions. - Thomas Kollar; Stefanie Tellex; Nicholas Roy (AAAI Fall Symposium: Dialog with Robots, 2010)

Toward understanding natural language directions. - Thomas Kollar; Stefanie Tellex; Deb Roy; Nicholas Roy (HRI, 2010)

Grounding spatial language for video search. - Stefanie Tellex; Thomas Kollar; George Shaw; Nicholas Roy; Deb Roy (ICMI-MLMI, 2010)

Indoor scene recognition through object detection. - Pablo Espinace; Thomas Kollar; Alvaro Soto; Nicholas Roy (ICRA, 2010)

Natural language command of an autonomous micro-air vehicle. - Albert S. Huang; Stefanie Tellex; Abraham Bachrach; Thomas Kollar; Deb Roy; Nicholas Roy (IROS, 2010)

Grounding Verbs of Motion in Natural Language Commands to Robots. - Thomas Kollar; Stefanie Tellex; Deb Roy; Nicholas Roy (ISER, 2010)

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 (AAAI, 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 (HRI, 2011)

Following and interpreting narrated guided tours. - Sachithra Hemachandra; Thomas Kollar; Nicholas Roy; Seth J. Teller (ICRA, 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)

Learning to understand spatial language for robotic navigation and mobile manipulation. - Thomas Kollar (2011)

Using the Web to Interactively Learn to Find Objects. - Mehdi Samadi; Thomas Kollar; Manuela M. Veloso (AAAI, 2012)

Enabling robots to find and fetch objects by querying the web. - Thomas Kollar; Mehdi Samadi; Manuela M. Veloso (AAMAS, 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 001 (IROS, 2012)

Toward Information Theoretic Human-Robot Dialog. - Stefanie Tellex; Pratiksha Thaker; Robin Deits; Thomas Kollar; Nicholas Roy (Robotics: Science and Systems, 2012)

A Multi-modal Approach for Natural Human-Robot Interaction. - Thomas Kollar; Anu Vedantham; Corey Sobel; Cory Chang; Vittorio Perera; Manuela M. Veloso (ICSR, 2012)

Imitation learning for natural language direction following through unknown environments. - Felix Duvallet; Thomas Kollar; Anthony Stentz (ICRA, 2013)

Learning environmental knowledge from task-based human-robot dialog. - Thomas Kollar; Vittorio Perera; Daniele Nardi; Manuela M. Veloso (ICRA, 2013)

Toward Interactive Grounded Language Acqusition. - Thomas Kollar; Jayant Krishnamurthy; Grant P. Strimel (Robotics: Science and Systems, 2013)

Indoor scene recognition by a mobile robot through adaptive object detection. - Pablo Espinace; Thomas Kollar; Nicholas Roy; Alvaro Soto (Robotics Auton. Syst., 2013)

Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World. - Jayant Krishnamurthy; Thomas Kollar (Trans. Assoc. Comput. Linguistics, 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)

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)

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)

Multi-Task Learning For Parsing The Alexa Meaning Representation Language. - Vittorio Perera; Tagyoung Chung; Thomas Kollar; Emma Strubell (AAAI, 2018)

The Alexa Meaning Representation Language. - Thomas Kollar; Danielle Berry; Lauren Stuart; Karolina Owczarzak; Tagyoung Chung; Lambert Mathias; Michael Kayser; Bradford Snow; Spyros Matsoukas (NAACL-HLT (3), 2018)

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; et al. (ICRA, 2020)

SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo. - Thomas Kollar; Michael Laskey; Kevin Stone; Brijen Thananjeyan; Mark Tjersland (CoRL, 2021)

ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization. - Muhammad Zubair Irshad; Sergey Zakharov; Rares Ambrus; Thomas Kollar; Zsolt Kira; Adrien Gaidon (ECCV (2), 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 (ICRA, 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 (ISRR, 2022)

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 (CoRL, 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 (CVPR, 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 (ICCV, 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 (ICRA, 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 (ICRA, 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)

Language-Driven Representation Learning for Robotics. - Siddharth Karamcheti; Suraj Nair 003; Annie S. Chen; Thomas Kollar; Chelsea Finn; Dorsa Sadigh; Percy Liang (Robotics: Science and Systems, 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)

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)

OpenVLA: An Open-Source Vision-Language-Action Model. - Moo Jin Kim; Karl Pertsch; Siddharth Karamcheti; Ted Xiao; Ashwin Balakrishna; Suraj Nair 003; Rafael Rafailov; Ethan Paul Foster; Pannag R. Sanketi; Quan Vuong; Thomas Kollar; Benjamin Burchfiel; et al. (CoRL, 2024)

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models. - Siddharth Karamcheti; Suraj Nair 003; Ashwin Balakrishna; Percy Liang; Thomas Kollar; Dorsa Sadigh (ICML, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Multi-Modal Representation Learning with Tactile Data. - Hyung-Gun Chi; Jose A. Barreiros; Jean Mercat; Karthik Ramani; Thomas Kollar (IROS, 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 (IROS, 2024)

MANIP: A Modular Architecture for Integrating Interactive Perception for Robot Manipulation. - Justin Yu; Tara Sadjadpour; Abby O'Neill; Mehdi Khfifi; Lawrence Yunliang Chen; Richard Cheng; Muhammad Zubair Irshad; Ashwin Balakrishna; Thomas Kollar; Ken Goldberg (IROS, 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 Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

A Critical Evaluation of AI Feedback for Aligning Large Language Models. - Archit Sharma; Sedrick Scott Keh; Eric Mitchell; Chelsea Finn; Kushal Arora; Thomas Kollar (NeurIPS, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 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; et al. (CoRR, 2024)

Linearizing Large Language Models. - Jean Mercat; Igor Vasiljevic; Sedrick Keh; Kushal Arora; Achal Dave; Adrien Gaidon; Thomas Kollar (CoRR, 2024)

OpenVLA: An Open-Source Vision-Language-Action Model. - Moo Jin Kim; Karl Pertsch; Siddharth Karamcheti; Ted Xiao; Ashwin Balakrishna; Suraj Nair 003; Rafael Rafailov; Ethan Paul Foster; Grace Lam; Pannag Sanketi; Quan Vuong; Thomas Kollar; et al. (CoRR, 2024)

GHIL-Glue: Hierarchical Control with Filtered Subgoal Images. - Kyle Beltran Hatch; Ashwin Balakrishna; Oier Mees; Suraj Nair 003; Seohong Park; Blake Wulfe; Masha Itkina; Benjamin Eysenbach; Sergey Levine; Thomas Kollar; Benjamin Burchfiel (CoRR, 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., 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; et al. (ICLR, 2025)

Should VLMs be Pre-trained with Image Data? - Sedrick Keh; Jean Mercat; Samir Yitzhak Gadre; Kushal Arora; Igor Vasiljevic; Benjamin Burchfiel; Shuran Song; Russ Tedrake; Thomas Kollar; Ludwig Schmidt; Achal Dave (ICLR, 2025)

Understanding Complexity in VideoQA via Visual Program Generation. - Cristóbal Eyzaguirre; Igor Vasiljevic; Achal Dave; Jiajun Wu 001; Rares Andrei Ambrus; Thomas Kollar; Juan Carlos Niebles; Pavel Tokmakov (CoRR, 2025)