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Thomas Kollar
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2020 – today
- 2024
- [i17]Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna, Percy Liang, Thomas Kollar, Dorsa Sadigh:
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models. CoRR abs/2402.07865 (2024) - [i16]Archit Sharma, Sedrick Keh, Eric Mitchell, Chelsea Finn, Kushal Arora, Thomas Kollar:
A Critical Evaluation of AI Feedback for Aligning Large Language Models. CoRR abs/2402.12366 (2024) - [i15]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:
Language models scale reliably with over-training and on downstream tasks. CoRR abs/2403.08540 (2024) - 2023
- [c39]Vainavi Viswanath, Kaushik Shivakumar, Mallika Parulekar, Jainil Ajmera, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg:
HANDLOOM: Learned Tracing of One-Dimensional Objects for Inspection and Manipulation. CoRL 2023: 341-357 - [c38]Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar:
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects. CVPR 2023: 21201-21210 - [c37]Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus:
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. ICCV 2023: 9153-9164 - [c36]Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg:
AutoBag: Learning to Open Plastic Bags and Insert Objects. ICRA 2023: 3918-3925 - [c35]Kaushik Shivakumar, Vainavi Viswanath, Anrui Gu, Yahav Avigal, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg:
SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception. ICRA 2023: 5837-5843 - [c34]Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg:
Bagging by Learning to Singulate Layers Using Interactive Perception. IROS 2023: 3176-3183 - [c33]Siddharth Karamcheti, Suraj Nair, Annie S. Chen, Thomas Kollar, Chelsea Finn, Dorsa Sadigh, Percy Liang:
Language-Driven Representation Learning for Robotics. Robotics: Science and Systems 2023 - [i14]Siddharth Karamcheti, Suraj Nair, Annie S. Chen, Thomas Kollar, Chelsea Finn, Dorsa Sadigh, Percy Liang:
Language-Driven Representation Learning for Robotics. CoRR abs/2302.12766 (2023) - [i13]Vainavi Viswanath, Kaushik Shivakumar, Jainil Ajmera, Mallika Parulekar, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg:
Learning to Trace and Untangle Semi-planar Knots (TUSK). CoRR abs/2303.08975 (2023) - [i12]Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar:
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects. CoRR abs/2303.15782 (2023) - [i11]Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg:
Bagging by Learning to Singulate Layers Using Interactive Perception. CoRR abs/2303.16898 (2023) - [i10]Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus:
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. CoRR abs/2308.12967 (2023) - [i9]Aviv Adler, Ayah Ahmad, Shengyin Wang, Wisdom C. Agboh, Edith LLontop, Tianshuang Qiu, Jeffrey Ichnowski, Mehmet Remzi Dogar, Thomas Kollar, Richard Cheng, Ken Goldberg:
The Teenager's Problem: Efficient Garment Decluttering With Grasp Optimization. CoRR abs/2310.16951 (2023) - 2022
- [c32]Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon:
ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization. ECCV (2) 2022: 275-292 - [c31]Muhammad Zubair Irshad, Thomas Kollar, Michael Laskey, Kevin Stone, Zsolt Kira:
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation. ICRA 2022: 10632-10640 - [c30]Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg:
Efficiently Learning Single-Arm Fling Motions to Smooth Garments. ISRR 2022: 36-51 - [i8]Muhammad Zubair Irshad, Thomas Kollar, Michael Laskey, Kevin Stone, Zsolt Kira:
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation. CoRR abs/2203.01929 (2022) - [i7]Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg:
Efficiently Learning Single-Arm Fling Motions to Smooth Garments. CoRR abs/2206.08921 (2022) - [i6]Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon:
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization. CoRR abs/2207.13691 (2022) - [i5]Kaushik Shivakumar, Vainavi Viswanath, Anrui Gu, Yahav Avigal, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg:
SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception. CoRR abs/2209.13706 (2022) - [i4]Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg:
AutoBag: Learning to Open Plastic Bags and Insert Objects. CoRR abs/2210.17217 (2022) - 2021
- [c29]Thomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan, Mark Tjersland:
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo. CoRL 2021: 938-948 - [i3]Thomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan, Mark Tjersland:
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo. CoRR abs/2106.16118 (2021) - 2020
- [c28]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:
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes. ICRA 2020: 11039-11045
2010 – 2019
- 2019
- [i2]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:
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes. CoRR abs/1910.00127 (2019) - 2018
- [c27]Vittorio Perera, Tagyoung Chung, Thomas Kollar, Emma Strubell:
Multi-Task Learning For Parsing The Alexa Meaning Representation Language. AAAI 2018: 5390-5397 - [c26]Thomas Kollar, Danielle Berry, Lauren Stuart, Karolina Owczarzak, Tagyoung Chung, Lambert Mathias, Michael Kayser, Bradford Snow, Spyros Matsoukas:
The Alexa Meaning Representation Language. NAACL-HLT (3) 2018: 177-184 - 2017
- [i1]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:
Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands. CoRR abs/1712.01097 (2017) - 2015
- [j5]Vittorio Perera, Robin Soetens, Thomas Kollar, Mehdi Samadi, Yichao Sun, Daniele Nardi, René van de Molengraft, Manuela M. Veloso:
Learning Task Knowledge from Dialog and Web Access. Robotics 4(2): 223-252 (2015) - 2013
- [j4]Pablo Espinace, Thomas Kollar, Nicholas Roy, Alvaro Soto:
Indoor scene recognition by a mobile robot through adaptive object detection. Robotics Auton. Syst. 61(9): 932-947 (2013) - [j3]Jayant Krishnamurthy, Thomas Kollar:
Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World. Trans. Assoc. Comput. Linguistics 1: 193-206 (2013) - [c25]Felix Duvallet, Thomas Kollar, Anthony Stentz:
Imitation learning for natural language direction following through unknown environments. ICRA 2013: 1047-1053 - [c24]Thomas Kollar, Vittorio Perera, Daniele Nardi, Manuela M. Veloso:
Learning environmental knowledge from task-based human-robot dialog. ICRA 2013: 4304-4309 - [c23]Thomas Kollar, Jayant Krishnamurthy, Grant P. Strimel:
Toward Interactive Grounded Language Acqusition. Robotics: Science and Systems 2013 - 2012
- [c22]Mehdi Samadi, Thomas Kollar, Manuela M. Veloso:
Using the Web to Interactively Learn to Find Objects. AAAI 2012: 2074-2080 - [c21]Thomas Kollar, Mehdi Samadi, Manuela M. Veloso:
Enabling robots to find and fetch objects by querying the web. AAMAS 2012: 1217-1218 - [c20]Manuela M. Veloso, Joydeep Biswas, Brian Coltin, Stephanie Rosenthal, Thomas Kollar, Çetin Meriçli, Mehdi Samadi, Susana Brandão, Rodrigo Ventura:
CoBots: Collaborative robots servicing multi-floor buildings. IROS 2012: 5446-5447 - [c19]Stefanie Tellex, Pratiksha Thaker, Robin Deits, Thomas Kollar, Nicholas Roy:
Toward Information Theoretic Human-Robot Dialog. Robotics: Science and Systems 2012 - [c18]Thomas Kollar, Anu Vedantham, Corey Sobel, Cory Chang, Vittorio Perera, Manuela M. Veloso:
A Multi-modal Approach for Natural Human-Robot Interaction. ICSR 2012: 458-467 - 2011
- [b1]Thomas Kollar:
Learning to understand spatial language for robotic navigation and mobile manipulation. Massachusetts Institute of Technology, Cambridge, MA, USA, 2011 - [j2]Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew R. Walter, Ashis Gopal Banerjee, Seth J. Teller, Nicholas Roy:
Approaching the Symbol Grounding Problem with Probabilistic Graphical Models. AI Mag. 32(4): 64-76 (2011) - [c17]Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew R. Walter, Ashis Gopal Banerjee, Seth J. Teller, Nicholas Roy:
Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation. AAAI 2011: 1507-1514 - [c16]Thomas Kollar, Astrid Weiss, Jason Monast, Anja Austermann, David Lu, Mitesh Patel, Elena Gribovskaya, Chandan Datta, Richard Kelley, Hirotaka Osawa, Lanny Lin:
HRI pioneers workshop 2011. HRI 2011: 9-10 - [c15]Sachithra Hemachandra, Thomas Kollar, Nicholas Roy, Seth J. Teller:
Following and interpreting narrated guided tours. ICRA 2011: 2574-2579 - 2010
- [c14]Thomas Kollar, Stefanie Tellex, Nicholas Roy:
A Discriminative Model for Understanding Natural Language Route Directions. AAAI Fall Symposium: Dialog with Robots 2010 - [c13]Thomas Kollar, Stefanie Tellex, Deb Roy, Nicholas Roy:
Toward understanding natural language directions. HRI 2010: 259-266 - [c12]Stefanie Tellex, Thomas Kollar, George Shaw, Nicholas Roy, Deb Roy:
Grounding spatial language for video search. ICMI-MLMI 2010: 31:1-31:8 - [c11]Pablo Espinace, Thomas Kollar, Alvaro Soto, Nicholas Roy:
Indoor scene recognition through object detection. ICRA 2010: 1406-1413 - [c10]Albert S. Huang, Stefanie Tellex, Abraham Bachrach, Thomas Kollar, Deb Roy, Nicholas Roy:
Natural language command of an autonomous micro-air vehicle. IROS 2010: 2663-2669 - [c9]Thomas Kollar, Stefanie Tellex, Deb Roy, Nicholas Roy:
Grounding Verbs of Motion in Natural Language Commands to Robots. ISER 2010: 31-47
2000 – 2009
- 2009
- [c8]Thomas Kollar, Nicholas Roy:
Utilizing object-object and object-scene context when planning to find things. ICRA 2009: 2168-2173 - [c7]Yuan Wei, Emma Brunskill, Thomas Kollar, Nicholas Roy:
Where to go: Interpreting natural directions using global inference. ICRA 2009: 3761-3767 - 2008
- [j1]Thomas Kollar, Nicholas Roy:
Trajectory Optimization using Reinforcement Learning for Map Exploration. Int. J. Robotics Res. 27(2): 175-196 (2008) - [c6]Thomas Kollar, Nicholas Roy:
Efficient Optimization of Information-Theoretic Exploration in SLAM. AAAI 2008: 1369-1375 - 2007
- [c5]Finale Doshi, Emma Brunskill, Alexander C. Shkolnik, Thomas Kollar, Khashayar Rohanimanesh, Russ Tedrake, Nicholas Roy:
Collision detection in legged locomotion using supervised learning. IROS 2007: 317-322 - [c4]Emma Brunskill, Thomas Kollar, Nicholas Roy:
Topological mapping using spectral clustering and classification. IROS 2007: 3491-3496 - 2006
- [c3]Thomas Kollar, Nicholas Roy:
Using Reinforcement Learning to Improve Exploration Trajectories for Error Minimization. ICRA 2006: 3338-3343 - 2003
- [c2]Thomas Kollar, Jonathan Schmid, Eric M. Meisner, Micha Elsner, Diana Calarese, Chikita Purav, Chris Brown, Jenine Turner, Dasun Peramunage, Gautam Altekar, Victoria Sweetser:
Mabel: Extending Human Interaction and Robot Rescue Design. AAAI Mobile Robot Competition 2003: 20-29 - 2002
- [c1]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:
Mabel: Building a Robot Designed for Human Interaction. AAAI Mobile Robot Competition 2002: 24-31
Coauthor Index
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last updated on 2024-04-07 22:28 CEST by the dblp team
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