USUMDComputer Science
Leads the GAMMA group on robot navigation, autonomous driving, audio and multimodal AI, and physically based simulation.
- Autonomous vehicles & drones
- Embodied & active vision
- Vision-language & multimodal
- 2026Bi-VLM: Binary Post-Training Quantization for Vision-Language ModelsAAAI
- 2026DIAGRAMS : A Review Framework for Reasoning-Level Attribution in Diagram QAACL
125 T1 · 185 papers · Group size not listed 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 USMITElectrical Engineering and Computer Science
Daniela RusDirector, CSAIL; Panasonic Professor
Studies robotics, including soft robots, self-driving cars for mobility on demand, and rapid robot design and fabrication.
- Autonomous vehicles & drones
- Soft, surgical & micro robots
- Geometry processing & modeling
- 2026ActiveDPO: Active Direct Preference Optimization for Sample-Efficient AlignmentICLR
- 2026Colonial Architectures for Centimeter-Scale Underwater Robot SwarmsICRA
81 T1 · 136 papers · Group size not listed 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 SGNTUSchool of Electrical and Electronic Engineering
Works on robust control and estimation, networked and cooperative control, distributed optimization and unmanned systems.
- Planning, control & multi-robot systems
- Learning theory & optimization
- Distributed, cloud & edge systems
- 2026Asymptotically Optimal Distributed Consensus of Heterogeneous Multiagent SystemsTAC
- 2026Data-Driven Cooperative Output Regulation via Output Feedback ControlTAC
73 T1 · 196 papers · 9 members · 68 alumni CNZhejiangCollege of Control Science and Engineering
Works on robot intelligent perception and learning, including deep learning, SLAM and robot vision.
- Robot perception & SLAM
- Planning, control & multi-robot systems
- 2026Automatic Data-Free Pruning via Channel Similarity ReconstructionNeurocomputing
- 2026KFS: KAN Based Adaptive Frequency Selection Learning Architecture for Long-term Time Series ForecastingAdvanced Engineering Informatics
72 T1 · 133 papers · 78 members · 80 alumni CNSJTUDepartment of Automation
Hesheng WangTang Jun Yuan Chair Professor
Works on intelligent robots, embodied AI, autonomous vehicles and machine vision, directing the Intelligent Robotics and Machine Vision Lab.
- Robot perception & SLAM
- Autonomous vehicles & drones
- Embodied & active vision
- 2026A Shared Control Framework for Mobile Robots with Planning-Level Intention PredictionT-RO
- 2026ARFlow: Auto-regressive Optical Flow Estimation for Arbitrary-Length Videos via Progressive Next-Frame ForecastingICLR
64 T1 · 113 papers · 103 members · 87 alumni CNSJTUSchool of Artificial Intelligence
Works on collaborative perception for autonomous driving, multi-agent systems and graph signal processing.
- Autonomous vehicles & drones
- Planning, control & multi-robot systems
- Reasoning & neuro-symbolic AI
- 2026AgentFold: Long-Horizon Web Agents with Proactive Context FoldingICLR
- 2026Hierarchical Spherical CNNs With Lifting-Based Adaptive Wavelets for Pooling and UnpoolingTPAMI
60 T1 · 83 papers · Group size not listed CNTsinghuaDepartment of Computer Science and Technology
Works on intelligent control, robot and aircraft navigation and control, and perception for artificial cognitive systems.
- Planning, control & multi-robot systems
- Robot perception & SLAM
- Embodied & active vision
- 2026All-in-One Image Restoration via Causal-Deconfounding Wavelet-Disentangled Prompt NetworkTIP
- 2026Behavior Regularization with Flow Latent Policy for Offline Reinforcement LearningAAAI
58 T1 · 182 papers · Group size not listed CNZhejiangCollege of Control Science and Engineering
Works on intelligent robotics, including robot perception, cognition, planning, reasoning, decision making and learning.
- Planning, control & multi-robot systems
- Robot perception & SLAM
- Reasoning & agents
- 2026Predictive Local Planning with Multi-Step Reward and Q-Value ForecastingICRA
- 2026Shape Sensing and Tip Tracking via Reciprocating Magnet in the Soft Continuum RobotICRA
58 T1 · 126 papers · Group size not listed CNTsinghuaInstitute for Interdisciplinary Information Sciences (IIIS)
Huazhe XuAssistant Professor
Works on deep reinforcement learning, robotics, computer vision, and tactile sensing.
- Robot perception & SLAM
- Reinforcement learning
- 2025A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous ControlICML
- 2025Catch It! Learning to Catch in Flight with Mobile Dexterous HandsICRA
57 T1 · 58 papers · 12 members USMITElectrical Engineering and Computer Science
Studies robotics, machine learning, and planning under uncertainty.
- Planning, control & multi-robot systems
- Probabilistic & causal inference
- 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 · 72 papers · 12 members · 122 alumni 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 USCMURobotics Institute
Studies autonomous aerial and ground robots, including SLAM, perception and navigation in degraded environments.
- Robot perception & SLAM
- Autonomous vehicles & drones
- Embodied & active vision
- 2026Any4D: Unified Feed-Forward Metric 4D ReconstructionCVPR
- 2026AnyThermal: Towards Learning Universal Representations for Thermal PerceptionICRA
52 T1 · 83 papers · 42 members · 75 alumni USUT AustinDepartment of Aerospace Engineering and Engineering Mechanics
Ufuk TopcuAssociate Professor Cockrell Family Dean's Chair for Engineering Excellence
Designs and verifies autonomous systems, combining formal methods, control and learning for safe decision-making.
- Autonomous vehicles & drones
- Planning, control & multi-robot systems
- Reinforcement learning
- 2026Do LLMs Strategically Reveal, Conceal, and Infer Information? A Theoretical and Empirical Analysis in The Chameleon GameAAMAS
- 2026IG-MCTS: Human-in-the-Loop Cooperative Navigation under Incomplete InformationAAMAS
51 T1 · 125 papers · 17 members · 24 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