Search Results - "Mandlekar, Ajay"
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1
Learning latent actions to control assistive robots
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…”
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Journal Article -
2
Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations
Published in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (01-09-2017)“…Policy search methods in reinforcement learning have demonstrated success in scaling up to larger problems beyond toy examples. However, deploying these…”
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Conference Proceeding -
3
Building Robot Intelligence by Scaling Human Supervision
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…”
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Dissertation -
4
Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments
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…”
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Journal Article -
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Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity
Published in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (01-11-2019)“…Large, richly annotated datasets have accelerated progress in fields such as computer vision and natural language processing, but replicating these successes…”
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Conference Proceeding -
6
Multi-dimensional optimization of a terawatt seeded tapered Free Electron Laser with a Multi-Objective Genetic Algorithm
Published in Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment (21-02-2017)“…There is a great interest in generating high-power hard X-ray Free Electron Laser (FEL) in the terawatt (TW) level that can enable coherent diffraction imaging…”
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Journal Article -
7
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control
Published in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (27-09-2021)“…Imitation Learning (IL) is an effective framework to learn visuomotor skills from offline demonstration data. However, IL methods often fail to generalize to…”
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Conference Proceeding -
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Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks
Published in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (01-10-2023)“…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…”
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Conference Proceeding -
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IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data
Published in 2020 IEEE International Conference on Robotics and Automation (ICRA) (01-05-2020)“…Learning from offline task demonstrations is a problem of great interest in robotics. For simple short-horizon manipulation tasks with modest variation in task…”
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Conference Proceeding -
10
Multi-dimensional optimization of a terawatt seeded tapered Free Electron Laser with a Multi-Objective Genetic Algorithm
Published in Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment (20-11-2016)“…There is a great interest in generating high-power hard X-ray Free Electron Laser (FEL) in the terawatt (TW) level that can enable coherent diffraction imaging…”
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Journal Article -
11
Controlling Assistive Robots with Learned Latent Actions
Published in 2020 IEEE International Conference on Robotics and Automation (ICRA) (01-05-2020)“…Assistive robotic arms enable users with physical disabilities to perform everyday tasks without relying on a caregiver. Unfortunately, the very dexterity that…”
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Conference Proceeding -
12
SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment
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…”
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Journal Article -
13
SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation
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…”
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Journal Article -
14
IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
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…”
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Journal Article -
15
Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following
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…”
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Journal Article -
16
NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors
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…”
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Journal Article -
17
Human-in-the-Loop Task and Motion Planning for Imitation Learning
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…”
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Journal Article -
18
Deep Affordance Foresight: Planning Through What Can Be Done in the Future
Published in 2021 IEEE International Conference on Robotics and Automation (ICRA) (30-05-2021)“…Planning in realistic environments requires searching in large planning spaces. Affordances are a powerful concept to simplify this search, because they model…”
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Conference Proceeding -
19
DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning
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…”
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Journal Article -
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Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations
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…”
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Journal Article