Search Results - "Mandlekar, Ajay"

Refine Results
  1. 1

    Learning latent actions to control assistive robots by Losey, Dylan P., Jeon, Hong Jun, Li, Mengxi, Srinivasan, Krishnan, Mandlekar, Ajay, Garg, Animesh, Bohg, Jeannette, Sadigh, Dorsa

    Published in Autonomous robots (01-01-2022)
    “…Assistive robot arms enable people with disabilities to conduct everyday tasks on their own. These arms are dexterous and high-dimensional ; however, the…”
    Get full text
    Journal Article
  2. 2

    Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations by Mandlekar, Ajay, Yuke Zhu, Garg, Animesh, Li Fei-Fei, Savarese, Silvio

    “…Policy search methods in reinforcement learning have demonstrated success in scaling up to larger problems beyond toy examples. However, deploying these…”
    Get full text
    Conference Proceeding
  3. 3

    Building Robot Intelligence by Scaling Human Supervision by Mandlekar, Ajay

    Published 01-01-2021
    “…Large-scale human supervision has been at the heart of some of the most significant recent advances in domains such as computer vision and natural language…”
    Get full text
    Dissertation
  4. 4

    Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments by Mittal, Mayank, Yu, Calvin, Yu, Qinxi, Liu, Jingzhou, Rudin, Nikita, Hoeller, David, Yuan, Jia Lin, Singh, Ritvik, Guo, Yunrong, Mazhar, Hammad, Mandlekar, Ajay, Babich, Buck, State, Gavriel, Hutter, Marco, Garg, Animesh

    Published in IEEE robotics and automation letters (01-06-2023)
    “…We present Orbit , a unified and modular framework for robot learning powered by Nvidia Isaac Sim. It offers a modular design to easily and efficiently create…”
    Get full text
    Journal Article
  5. 5

    Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity by Mandlekar, Ajay, Booher, Jonathan, Spero, Max, Tung, Albert, Gupta, Anchit, Zhu, Yuke, Garg, Animesh, Savarese, Silvio, Fei-Fei, Li

    “…Large, richly annotated datasets have accelerated progress in fields such as computer vision and natural language processing, but replicating these successes…”
    Get full text
    Conference Proceeding
  6. 6
  7. 7

    Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control by Wang, Chen, Wang, Rui, Mandlekar, Ajay, Fei-Fei, Li, Savarese, Silvio, Xu, Danfei

    “…Imitation Learning (IL) is an effective framework to learn visuomotor skills from offline demonstration data. However, IL methods often fail to generalize to…”
    Get full text
    Conference Proceeding
  8. 8

    Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks by Fang, Kuan, Migimatsu, Toki, Mandlekar, Ajay, Fei-Fei, Li, Bohg, Jeannette

    “…Solving real-world manipulation tasks requires robots to be equipped with a repertoire of skills that can be applied to diverse scenarios. While learning-based…”
    Get full text
    Conference Proceeding
  9. 9

    IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data by Mandlekar, Ajay, Ramos, Fabio, Boots, Byron, Savarese, Silvio, Fei-Fei, Li, Garg, Animesh, Fox, Dieter

    “…Learning from offline task demonstrations is a problem of great interest in robotics. For simple short-horizon manipulation tasks with modest variation in task…”
    Get full text
    Conference Proceeding
  10. 10
  11. 11

    Controlling Assistive Robots with Learned Latent Actions by Losey, Dylan P., Srinivasan, Krishnan, Mandlekar, Ajay, Garg, Animesh, Sadigh, Dorsa

    “…Assistive robotic arms enable users with physical disabilities to perform everyday tasks without relying on a caregiver. Unfortunately, the very dexterity that…”
    Get full text
    Conference Proceeding
  12. 12

    SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment by Garrett, Caelan, Mandlekar, Ajay, Wen, Bowen, Fox, Dieter

    Published 24-10-2024
    “…2024 Conference on Robot Learning (CoRL) Imitation learning from human demonstrations is an effective paradigm for robot manipulation, but acquiring large…”
    Get full text
    Journal Article
  13. 13

    SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation by Zhou, Zihan, Garg, Animesh, Fox, Dieter, Garrett, Caelan, Mandlekar, Ajay

    Published 23-10-2024
    “…Robot learning has proven to be a general and effective technique for programming manipulators. Imitation learning is able to teach robots solely from human…”
    Get full text
    Journal Article
  14. 14

    IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning by Hoque, Ryan, Mandlekar, Ajay, Garrett, Caelan, Goldberg, Ken, Fox, Dieter

    Published 02-05-2024
    “…Imitation learning is a promising paradigm for training robot control policies, but these policies can suffer from distribution shift, where the conditions at…”
    Get full text
    Journal Article
  15. 15

    Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following by Ohnishi, Motoya, Akinola, Iretiayo, Xu, Jie, Mandlekar, Ajay, Ramos, Fabio

    Published 09-12-2023
    “…6th Annual Conference on Learning for Dynamics and Control (2024) Path signatures have been proposed as a powerful representation of paths that efficiently…”
    Get full text
    Journal Article
  16. 16

    NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors by Cheng, Shuo, Garrett, Caelan, Mandlekar, Ajay, Xu, Danfei

    Published 02-11-2023
    “…Solving complex manipulation tasks in household and factory settings remains challenging due to long-horizon reasoning, fine-grained interactions, and broad…”
    Get full text
    Journal Article
  17. 17

    Human-in-the-Loop Task and Motion Planning for Imitation Learning by Mandlekar, Ajay, Garrett, Caelan, Xu, Danfei, Fox, Dieter

    Published 24-10-2023
    “…Imitation learning from human demonstrations can teach robots complex manipulation skills, but is time-consuming and labor intensive. In contrast, Task and…”
    Get full text
    Journal Article
  18. 18

    Deep Affordance Foresight: Planning Through What Can Be Done in the Future by Xu, Danfei, Mandlekar, Ajay, Martin-Martin, Roberto, Zhu, Yuke, Savarese, Silvio, Fei-Fei, Li

    “…Planning in realistic environments requires searching in large planning spaces. Affordances are a powerful concept to simplify this search, because they model…”
    Get full text
    Conference Proceeding
  19. 19

    DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning by Jiang, Zhenyu, Xie, Yuqi, Lin, Kevin, Xu, Zhenjia, Wan, Weikang, Mandlekar, Ajay, Fan, Linxi, Zhu, Yuke

    Published 31-10-2024
    “…Imitation learning from human demonstrations is an effective means to teach robots manipulation skills. But data acquisition is a major bottleneck in applying…”
    Get full text
    Journal Article
  20. 20

    Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations by Urain, Julen, Mandlekar, Ajay, Du, Yilun, Shafiullah, Mahi, Xu, Danfei, Fragkiadaki, Katerina, Chalvatzaki, Georgia, Peters, Jan

    Published 08-08-2024
    “…Learning from Demonstrations, the field that proposes to learn robot behavior models from data, is gaining popularity with the emergence of deep generative…”
    Get full text
    Journal Article