USStanfordComputer Science
Chelsea FinnAssistant Professor of Computer Science and of Electrical Engineering
Develops robot learning methods, including meta-learning and vision-language-action policies for manipulation.
- Manipulation & robot learning
- Robot perception & SLAM
- Vision-language & multimodal
- 2026ALOHA Lightning: Learning Fast and Precise ManipulationICRA
- 2026Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and PlanningICLR
98 T1 · 112 papers · Group size not listed USUC BerkeleyElectrical Engineering and Computer Sciences
Develops deep reinforcement learning, imitation learning and unsupervised learning methods for robot learning.
- Manipulation & robot learning
- Reinforcement learning
- 2026Cliqueformer: Model-Based Optimization with Structured TransformersAAAI
- 2026Contact-Aware Neural DynamicsCVPR
96 T1 · 105 papers · Group size not listed CNPekingSchool of Computer Science
Hao DongAssociate Professor with Tenure
Researches embodied AI and intelligent robots, with deep generative models and computer vision for robot manipulation.
- Manipulation & robot learning
- Robot perception & SLAM
- Generative & foundation models
- 2026A3D: Adaptive Affordance Assembly with Dual-Arm ManipulationAAAI
- 2026AT-VLA: Adaptive Tactile Injection for Enhanced Feedback Reaction in Vision-Language-Action ModelsCVPR
87 T1 · 120 papers · Group size not listed USUC BerkeleyDepartment of Mechanical Engineering
Masayoshi TomizukaDistinguished Professor of Mechanical Engineering
Studies mechatronics, control and learning for autonomous driving and robot manipulation.
- Manipulation & robot learning
- Autonomous vehicles & drones
- Embodied & active vision
- 2026AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation FusionECCV
- 2026Adaptive Linear Path Model-Based DiffusionICRA
83 T1 · 124 papers · 13 members · 132 alumni USStanfordComputer Science
Dorsa SadighAssociate Professor of Computer Science, of Electrical Engineering and Senior Fellow at the Stanford Institute for Human-Centered AI
Studies robot learning and human-robot interaction, including learning from human preferences.
- Manipulation & robot learning
- Human-robot interaction & assistive robots
- 2026Cross-Embodiment Transfer via Behavior-Aligned RepresentationsICRA
- 2026EXPO: Stable Reinforcement Learning with Expressive PoliciesICLR
80 T1 · 86 papers · 13 members · 35 alumni USStanfordComputer Science
Fei-Fei LiSequoia Capital Professor, Senior Fellow at HAI
Studies computer vision and embodied AI, including visual recognition and robot learning benchmarks.
- Embodied & active vision
- Recognition, detection & segmentation
- Manipulation & robot learning
- 2026Cambrian-S: Towards Spatial Supersensing in VideoICLR
- 2026Dream2Flow: Bridging Video Generation and Open-World Manipulation with 3D Object FlowICRA
60 T1 · 69 papers · Group size not listed USMITElectrical Engineering and Computer Science
Integrates machine learning with task, motion, and decision-theoretic planning for robotic manipulation.
- Manipulation & robot learning
- Planning, control & multi-robot systems
- 2026Which Reconstruction Model Should a Robot Use? Routing Image-to-3D Models for Cost-Aware Robotic ManipulationIROS
- 2026From Pixels to Predicates: Learning Symbolic World Models Via Pretrained VLMsRA-L
54 T1 · 73 papers · 12 members · 122 alumni CNTsinghuaInstitute for Interdisciplinary Information Sciences (IIIS)
Yang GaoAssistant Professor
Works on computer vision and reinforcement learning for robot learning.
- Manipulation & robot learning
- Robot perception & SLAM
- Reinforcement learning
- 2026Best of Sim and Real: Decoupled Visuomotor Manipulation via Learning Control in Simulation and Perception in RealICRA
- 2026EasyInsert: A Data Efficient and Generalizable Insertion PolicyIROS
53 T1 · 53 papers · 18 members · 6 alumni CNSJTUSchool of Artificial Intelligence
Works on embodied intelligence, computer vision and robot learning, leading the MVIG lab.
- Manipulation & robot learning
- Robot perception & SLAM
- 2025Arti-PG: A Toolbox for Procedurally Synthesizing Large-Scale and Diverse Articulated Objects with Rich AnnotationsICCV
- 2025CAGE: Causal Attention Enables Data-Efficient Generalizable Robotic ManipulationICRA
50 T1 · 64 papers · Group size not listed USMITElectrical Engineering and Computer Science
Studies robot learning, including reinforcement learning, dexterous manipulation, and self-supervised learning of sensorimotor skills.
- Manipulation & robot learning
- Reinforcement learning
- Generative & foundation models
- 2025A multimodal robotic platform for multi-element electrocatalyst discoveryNature
- 2025Bridging the Sim-to-Real Gap for Athletic Loco-ManipulationRSS
49 T1 · 60 papers · 12 members · 48 alumni HKCUHKDepartment of Electronic Engineering
Works on intelligent surgical robotics, continuum and soft robots, and learning-based control in image-guided procedures.
- Soft, surgical & micro robots
- Manipulation & robot learning
- 2026Bioinspired Kirigami Capsule Robot for Minimally Invasive Gastrointestinal BiopsyICRA
- 2026Bridging Vision and Language for Robust Context-Aware Surgical Point Tracking: The VL-SurgPT Dataset and BenchmarkAAAI
48 T1 · 133 papers · 19 members · 41 alumni USUCSDElectrical and Computer Engineering
Develops robot learning, planning and autonomous surgical robotics.
- Manipulation & robot learning
- Planning, control & multi-robot systems
- Embodied & active vision
- 2026In vivo feasibility study of humanoid robots in surgeryNature
- 2026Real-time Rendering-based Surgical Instrument Tracking via Evolutionary OptimizationIROS
45 T1 · 61 papers · 13 members · 35 alumni USUWPaul G. Allen School of Computer Science & Engineering
Develops reinforcement learning and robot learning algorithms for robots that learn continually in the real world.
- Manipulation & robot learning
- Reinforcement learning
- 2025ATK: Automatic Task-driven Keypoint Selection for Robust Policy LearningCoRL
- 2025DRAWER: Digital Reconstruction and Articulation With Environment RealismCVPR
43 T1 · 44 papers · 10 members · 1 alumnus USStanfordElectrical Engineering
Develops robot learning and perception for manipulation, including data collection systems for policies.
- Manipulation & robot learning
- Robot perception & SLAM
- 2026DexMachina: Functional Retargeting for Bimanual Dexterous ManipulationICML
- 2026DF-ExpEnse: Diffusion Filtered Exploration for Sample Efficient FinetuningICML
43 T1 · 43 papers · 14 members · 35 alumni USUC BerkeleyDepartment of Mechanical Engineering
Koushil SreenathProfessor of Mechanical Engineering
Studies dynamic legged locomotion and learning-based control for humanoid robots.
- Legged locomotion & humanoids
- Manipulation & robot learning
- 2026BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided DiffusionScience Robotics
- 2026CHyLL: Learning Continuous Neural Representations of Hybrid SystemsTMLR
42 T1 · 65 papers · 6 members · 50 alumni USGeorgia TechSchool of Interactive Computing
Animesh GargStephen Fleming Early Career Asisstant Professor
Leads the PAIR group on generalizable robot autonomy through representation, reinforcement and imitation learning.
- Manipulation & robot learning
- 2026AMPLIFY: Actionless Motion Priors for Robot Learning from VideosICRA
- 2026An Empirical Study of Data-Loading Bottlenecks (and Non-Bottlenecks) in Robotic Imitation LearningCoRL
40 T1 · 52 papers · 16 members · 53 alumni CATorontoComputer Science
Leads the Toronto Intelligent Systems Lab, working on robot learning, multi-modal perception and robust autonomy.
- Manipulation & robot learning
- Robot perception & SLAM
- Vision-language & multimodal
- 2026Material Magic Wand: Material-Aware Grouping of 3D Parts in Untextured MeshesCVPR
- 2026Realistic Evaluation of Model Merging for Compositional GeneralizationTMLR
38 T1 · 49 papers · 18 members · 26 alumni USCMURobotics Institute
Studies robot learning and self-supervised learning, including curiosity-driven exploration and generalist robot policies.
- Manipulation & robot learning
- Generative & foundation models
- 20263D-DLP: Self-supervised 3D Object-centric Scene Representation LearningICML
- 2026Expanding the Capabilities of Reinforcement Learning via Text FeedbackICML
35 T1 · 38 papers · 13 members · 24 alumni USCMURobotics Institute
Studies learning-based control for agile robots, combining control theory and machine learning.
- Planning, control & multi-robot systems
- Manipulation & robot learning
- 2026AM-Bench: A Modular Simulation Suite and Benchmark for Aerial Manipulation Policy LearningCoRL
- 2026BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement LearningICLR
34 T1 · 37 papers · 17 members · 26 alumni USCMUMachine Learning Department
Studies reinforcement learning and control theory, with applications to robot learning.
- Reinforcement learning
- Learning theory & optimization
- Manipulation & robot learning
- 2026Diamond Maps: Efficient Reward Alignment via Stochastic Flow MapsICML
- 2026FADA: Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid ControlCoRL
31 T1 · 35 papers · Group size not listed