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 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 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 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 Computer Science
Works on computer vision, including object detection and tracking for autonomous driving, vision-language understanding, image restoration and AIGC.
- Recognition, detection & segmentation
- Vision-language & multimodal
- Autonomous vehicles & drones
- 2026Aggregating Cross-Domain Knowledge via Learnable Tokens for Multi-Teacher DistillationECCV
- 2026Efficient and High-Quality Depth Estimation via Pixel-Space Diffusion with Linear AttentionECCV
48 T1 · 56 papers · 13 members · 23 alumni USUMDComputer Science
Develops algorithms for multi-robot planning, active sensing and environmental monitoring with aerial and ground robots.
- Planning, control & multi-robot systems
- Autonomous vehicles & drones
- 2026Adaptive Conformal Guidance for Learning under UncertaintyICLR
- 2026Dual-Uncertainty Guided Policy Learning for Multimodal ReasoningEMNLP
34 T1 · 48 papers · 5 members · 22 alumni USStanfordDepartment of Aeronautics and Astronautics
Mykel J. KochenderferAssociate Professor of Aeronautics and Astronautics, Senior Fellow at the Stanford Institute for Human-Centered AI
Develops decision-making under uncertainty for safety-critical autonomous systems such as aircraft collision avoidance.
- Autonomous vehicles & drones
- Reinforcement learning
- Probabilistic & causal inference
- 2026A new strategy for verifying reach-avoid specifications in neural feedback systemsAAAI
- 2026A semi-decentralized approach to multiagent controlAAMAS
33 T1 · 132 papers · 23 members · 173 alumni CATorontoComputer Science
Studies machine learning and computer vision for autonomous driving and simulation.
- Autonomous vehicles & drones
- Robot perception & SLAM
- Embodied & active vision
- 2026Conditional Flow-VAE for Safety-Critical Traffic Scenario GenerationICRA
- 2026Diffusion-guided Generalizable Enhancer for Urban Scene ReconstructionICRA
33 T1 · 33 papers · 17 members · 26 alumni CNTsinghuaInstitute for Interdisciplinary Information Sciences (IIIS)
Kaisheng MaTenured associate professor
Works on AI chiplets and accelerators, AI algorithms for self-driving, and implanted systems and neural dust.
- Accelerators, chips & architecture
- Autonomous vehicles & drones
- 2026ES-dLLM: Efficient Inference for Diffusion Large Language Models by Early-SkippingICLR
- 2026FBS: Accelerating CNN Inference over RNS-CKKS with Fewer Bootstrapping SparsityDAC
32 T1 · 47 papers · 15 members · 0 alumni DETUMDepartment of Computer Engineering
Researches robotics and AI, including neurorobotics, medical robotics, autonomous driving and multi-agent systems.
- Autonomous vehicles & drones
- Planning, control & multi-robot systems
- Embodied & active vision
- 2026CDIR: LoRA-Inspired Attention for Efficient Composite Degradation Image RestorationTIP
- 2026Disentangle to Fuse: Toward Content Preservation and Cross-Modality Consistency for Multi-Modality Image FusionTIP
29 T1 · 582 papers · 58 members USGeorgia TechSchool of Industrial and Systems Engineering
Studies trustworthy AI for robotics and autonomous systems.
- Autonomous vehicles & drones
- Embodied & active vision
- Trustworthy & safe ML
- 2026AutoFocus-IL: VLM-based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human AnnotationICRA
- 2026CommCP: Efficient Multi-Agent Coordination via LLM-Based Communication with Conformal PredictionICRA
29 T1 · 44 papers · 9 members · 30 alumni USUCSDComputer Science and Engineering
Works on 3D computer vision, including reconstruction, scene understanding and graphics-based vision for autonomous driving.
- 3D vision & neural rendering
- Recognition, detection & segmentation
- Autonomous vehicles & drones
- 2026LangDriveCTRL: Natural Language Controllable Driving Scene Editing with Multi-modal AgentsECCV
- 2026Mental Models for Multi-Agent SystemsNeurIPS
29 T1 · 32 papers · Group size not listed USUC BerkeleyElectrical Engineering and Computer Sciences
Develops perception, control and learning methods for agile aerial robots.
- Autonomous vehicles & drones
- Planning, control & multi-robot systems
- 2026Flying Together: Human-Guided Immersive Shared Control for Aerial Robot Teams in Unknown EnvironmentsICRA
- 2026Graph Neural Planning and Predictive Control for Multi-Robot Communication-Constrained Unlabeled Motion PlanningICRA
26 T1 · 55 papers · 9 members · 46 alumni USCMURobotics Institute
Studies machine learning for decision making, including Bayesian optimization, reinforcement learning and self-driving vehicles.
- Autonomous vehicles & drones
- Reinforcement learning
- Learning theory & optimization
- 2026Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory DistillationICLR
- 2026Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement LearningICLR
26 T1 · 32 papers · 20 members CNTsinghuaDepartment of Computer Science and Technology
Works on deep neural networks and reinforcement learning, computational neuroscience, autonomous driving, and mobile robots.
- Autonomous vehicles & drones
- Embodied & active vision
- Neuroscience & brain-computer interfaces
- 2026Beyond Language: Grounding Referring Expressions with Hand Pointing in Egocentric VisionECCV
- 2026From Sparse to Dense: Spatio-Temporal Fusion for Multi-View 3D Human Pose Estimation with DenseWarperICLR
17 T1 · 27 papers · Group size not listed SGNUSDepartment of Mechanical Engineering
Works on robotics, mechatronics and intelligent systems, including autonomous vehicles and robot manipulation, at the Advanced Robotics Centre.
- Manipulation & robot learning
- Autonomous vehicles & drones
- Embodied & active vision
- 2026FD-VLA: Force-Distilled Vision-Language-Action Model for Contact-Rich ManipulationICRA
- 2026From Dream to Action: Hierarchical Policy Learning with 3D World Imagination for Robotic ManipulationICRA
16 T1 · 48 papers · Group size not listed CNTsinghuaDepartment of Automation
Works on intelligent robots and teleoperation, space robotics, and intelligent sensing and measurement.
- Autonomous vehicles & drones
- Robot perception & SLAM
- 2026A Hierarchical Adaptive Controller with Configurable Joint Torque Constraints for Flexible LIMS Elbow Cable-Driven MechanismICRA
- 2026Stroke-Based Variable-Damping with Force Attenuation for Capturing Large-Momentum Objects under Non-Zero Contact VelocityICRA
15 T1 · 83 papers · Group size not listed