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ORCIDAjay Mandlekar
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2020 – today
- 2023
[j2]Mayank Mittal
, Calvin Yu, Qinxi Yu, Jingzhou Liu, Nikita Rudin, David Hoeller, Jia Lin Yuan, Ritvik Singh, Yunrong Guo, Hammad Mazhar, Ajay Mandlekar, Buck Babich, Gavriel State, Marco Hutter, Animesh Garg:
Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments. IEEE Robotics Autom. Lett. 8(6): 3740-3747 (2023)- [i19]Mayank Mittal, Calvin Yu, Qinxi Yu, Jingzhou Liu, Nikita Rudin, David Hoeller, Jia Lin Yuan, Pooria Poorsarvi Tehrani, Ritvik Singh, Yunrong Guo, Hammad Mazhar, Ajay Mandlekar, Buck Babich, Gavriel State, Marco Hutter, Animesh Garg:
ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments. CoRR abs/2301.04195 (2023) - 2022
- [j1]Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh:
Learning latent actions to control assistive robots. Auton. Robots 46(1): 115-147 (2022) - [c17]Soroush Nasiriany, Tian Gao, Ajay Mandlekar, Yuke Zhu:
Learning and Retrieval from Prior Data for Skill-based Imitation Learning. CoRL 2022: 2181-2204 - [c16]Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar:
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge. NeurIPS 2022 - [c15]Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg:
MoCoDA: Model-based Counterfactual Data Augmentation. NeurIPS 2022 - [i18]Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar:
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge. CoRR abs/2206.08853 (2022) - [i17]Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg:
MoCoDA: Model-based Counterfactual Data Augmentation. CoRR abs/2210.11287 (2022) - [i16]Soroush Nasiriany, Tian Gao, Ajay Mandlekar, Yuke Zhu:
Learning and Retrieval from Prior Data for Skill-based Imitation Learning. CoRR abs/2210.11435 (2022) - [i15]Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg:
Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks. CoRR abs/2211.06134 (2022) - 2021
- [c14]Samarth Sinha, Ajay Mandlekar, Animesh Garg:
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics. CoRL 2021: 907-917 - [c13]Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín:
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. CoRL 2021: 1367-1378 - [c12]Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín:
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. CoRL 2021: 1678-1690 - [c11]Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Deep Affordance Foresight: Planning Through What Can Be Done in the Future. ICRA 2021: 6206-6213 - [c10]Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Learning Multi-Arm Manipulation Through Collaborative Teleoperation. ICRA 2021: 9212-9219 - [c9]Chen Wang, Rui Wang, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Danfei Xu:
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control. IROS 2021: 8913-8920 - [i14]Chen Wang, Rui Wang, Danfei Xu, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese:
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control. CoRR abs/2103.00375 (2021) - [i13]Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh:
Learning Latent Actions to Control Assistive Robots. CoRR abs/2107.02907 (2021) - [i12]Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín:
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. CoRR abs/2108.03298 (2021) - [i11]Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín:
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. CoRR abs/2112.05251 (2021) - 2020
- [c8]Dylan P. Losey, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Dorsa Sadigh:
Controlling Assistive Robots with Learned Latent Actions. ICRA 2020: 378-384 - [c7]Ajay Mandlekar, Fabio Ramos, Byron Boots, Silvio Savarese, Li Fei-Fei, Animesh Garg, Dieter Fox:
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. ICRA 2020: 4414-4420 - [c6]Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei:
GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations. Robotics: Science and Systems 2020 - [i10]Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei:
Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations. CoRR abs/2003.06085 (2020) - [i9]Yuke Zhu, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín:
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning. CoRR abs/2009.12293 (2020) - [i8]Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Deep Affordance Foresight: Planning Through What Can Be Done in the Future. CoRR abs/2011.08424 (2020) - [i7]Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Human-in-the-Loop Imitation Learning using Remote Teleoperation. CoRR abs/2012.06733 (2020) - [i6]Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Learning Multi-Arm Manipulation Through Collaborative Teleoperation. CoRR abs/2012.06738 (2020)
2010 – 2019
- 2019
- [c5]Andrey Kurenkov, Ajay Mandlekar, Roberto Martin Martin, Silvio Savarese, Animesh Garg:
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers. CoRL 2019: 717-734 - [c4]Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. IROS 2019: 1048-1055 - [i5]Andrey Kurenkov, Ajay Mandlekar, Roberto Martin Martin, Silvio Savarese, Animesh Garg:
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers. CoRR abs/1909.04121 (2019) - [i4]Dylan P. Losey, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Dorsa Sadigh:
Controlling Assistive Robots with Learned Latent Actions. CoRR abs/1909.09674 (2019) - [i3]Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. CoRR abs/1911.04052 (2019) - [i2]Ajay Mandlekar, Fabio Ramos, Byron Boots, Li Fei-Fei, Animesh Garg, Dieter Fox:
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. CoRR abs/1911.05321 (2019) - 2018
- [c3]Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, Li Fei-Fei:
ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation. CoRL 2018: 879-893 - [i1]Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, Li Fei-Fei:
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation. CoRR abs/1811.02790 (2018) - 2017
- [c2]Ajay Mandlekar, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese:
Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations. IROS 2017: 3932-3939 - [c1]Anirudha Majumdar, Sumeet Singh, Ajay Mandlekar, Marco Pavone:
Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models. Robotics: Science and Systems 2017
Coauthor Index
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last updated on 2023-06-05 01:59 CEST by the dblp team
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