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Ajay Mandlekar

24 papers · 2017–2025 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓ 🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🔬 Deep Specialist (15) 👥 Mega-Team · Squad 🧬 Topic Evolution 📈 Trend Setter 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 🗃️ Keyword Collector (107) 💎 Century Club · Bronze

Venues

CoRL (13) RSS (4) ICLR (3) NeurIPS (2) ICML (1) L4DC (1)

Top co-authors

Yuke Zhu (9) Dieter Fox (8) Soroush Nasiriany (6) Caelan Reed Garrett (5) Danfei Xu (5) Silvio Savarese (5) Linxi Fan (5) Animesh Garg (5) Li Fei-fei (4) Roberto Martín-Martín (4)

Research topics

Reinforcement Learning (19) Applications (15) Artificial Intelligence (13) Machine Learning (12) Learning Types · Machine Learning (10) Robotics (8) Methods (8) Capabilities (7) Core AI (6) Learning Paradigms (6) Deep Learning (5) Application Areas (5) Learning Types · Deep Learning (2) Models (2) Optimization & Theory (2)

Keywords

imitation learning (12) robot manipulation (6) task and motion planning (5) transfer learning (3) offline reinforcement learning (3) robot learning (3) data augmentation (2) human demonstration (2) policy learning (2) reinforcement learning (2) robotic manipulation (2) behavioral cloning (2) self-supervised learning (1) sim-to-real transfer (1) unsupervised pretraining (1) bayesian reinforcement learning (1) sample efficiency (1) decision making (1) task generalization (1) domain adaptation (1)

Papers

AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation ICLR 2025 DreamGen: Unlocking Generalization in Robot Learning through Video World Models CoRL 2025 Latent Action Pretraining from Videos ICLR 2025 One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation ICML 2025 Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation RSS 2025 What Matters in Learning from Large-Scale Datasets for Robot Manipulation ICLR 2025 NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors CoRL 2024 RoboCasa: Large-Scale Simulation of Household Tasks for Generalist Robots RSS 2024 Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following L4DC 2024 SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment CoRL 2024 SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation CoRL 2024 Human-in-the-Loop Task and Motion Planning for Imitation Learning CoRL 2023 Imitating Task and Motion Planning with Visuomotor Transformers CoRL 2023 MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations CoRL 2023 Learning and Retrieval from Prior Data for Skill-based Imitation Learning CoRL 2022 MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge NeurIPS 2022 MoCoDA: Model-based Counterfactual Data Augmentation NeurIPS 2022 Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation CoRL 2021 S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics CoRL 2021 What Matters in Learning from Offline Human Demonstrations for Robot Manipulation CoRL 2021 GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations RSS 2020 AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers CoRL 2019 ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation CoRL 2018 Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models RSS 2017