SG NTUCollege of Computing and Data Science
Studies multi-agent systems, computational game theory and reinforcement learning, with applications to security and e-commerce.
2026 A tighter bound for reward learning in reinforcement learning from human feedback TMLR 2026 AdverMCTS: Combating pseudo-correctness in code generation via adversarial Monte Carlo tree search ICML 120 T1146 papersGroup size not listed CN PekingInstitute for Artificial Intelligence Jan 15
Researches reinforcement learning, multi-agent systems, AI alignment and embodied intelligence.
2026 A Game-Theoretic Negotiation Framework for Cross-Cultural Consensus * ACL 2026 AdaMAP: Learning Adaptive Multi-Action Prediction with Grounded Dreaming Guidance NeurIPS 105 T1137 papers6 membersGB UCLDepartment of Computer Science
Jun Wang Professor of Information and Data Science Researches multi-agent reinforcement learning, deep generative models and information retrieval.
2026 A Benchmark for Deep Information Synthesis ICLR 2026 Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning ICLR 86 T1135 papersGroup size not listed SG NTUSchool of Electrical and Electronic Engineering
Works on robust control and estimation, networked and cooperative control, distributed optimization and unmanned systems.
2026 Asymptotically Optimal Distributed Consensus of Heterogeneous Multiagent Systems TAC 2026 Data-Driven Cooperative Output Regulation via Output Feedback Control TAC 73 T1196 papers9 members68 alumniCN ZhejiangCollege of Control Science and Engineering Feb 28
Works on robot intelligent perception and learning, including deep learning, SLAM and robot vision.
2026 Automatic Data-Free Pruning via Channel Similarity Reconstruction Neurocomputing 2026 KFS: KAN Based Adaptive Frequency Selection Learning Architecture for Long-term Time Series Forecasting Advanced Engineering Informatics 72 T1133 papers78 members80 alumniCN SJTUSchool of Artificial Intelligence May 31
Works on collaborative perception for autonomous driving, multi-agent systems and graph signal processing.
2026 AgentFold: Long-Horizon Web Agents with Proactive Context Folding ICLR 2026 Hierarchical Spherical CNNs With Lifting-Based Adaptive Wavelets for Pooling and Unpooling TPAMI 60 T183 papersGroup size not listed CN TsinghuaDepartment of Computer Science and Technology Feb 28
Works on intelligent control, robot and aircraft navigation and control, and perception for artificial cognitive systems.
2026 All-in-One Image Restoration via Causal-Deconfounding Wavelet-Disentangled Prompt Network TIP 2026 Behavior Regularization with Flow Latent Policy for Offline Reinforcement Learning AAAI 58 T1182 papersGroup size not listed CN ZhejiangCollege of Control Science and Engineering Feb 28
Works on intelligent robotics, including robot perception, cognition, planning, reasoning, decision making and learning.
2026 Predictive Local Planning with Multi-Step Reward and Q-Value Forecasting ICRA 2026 Shape Sensing and Tip Tracking via Reciprocating Magnet in the Soft Continuum Robot ICRA 58 T1126 papersGroup size not listed US MITElectrical Engineering and Computer Science Dec 1
Studies robotics, machine learning, and planning under uncertainty.
2026 Which Reconstruction Model Should a Robot Use? Routing Image-to-3D Models for Cost-Aware Robotic Manipulation IROS 2026 From Pixels to Predicates: Learning Symbolic World Models Via Pretrained VLMs RA-L 54 T172 papers12 members122 alumniUS MITElectrical Engineering and Computer Science Dec 1
Integrates machine learning with task, motion, and decision-theoretic planning for robotic manipulation.
2026 Which Reconstruction Model Should a Robot Use? Routing Image-to-3D Models for Cost-Aware Robotic Manipulation IROS 2026 From Pixels to Predicates: Learning Symbolic World Models Via Pretrained VLMs RA-L 54 T173 papers12 members122 alumniUS UT AustinDepartment of Aerospace Engineering and Engineering Mechanics Dec 15
Ufuk Topcu Associate Professor Cockrell Family Dean's Chair for Engineering Excellence Designs and verifies autonomous systems, combining formal methods, control and learning for safe decision-making.
2026 Do LLMs Strategically Reveal, Conceal, and Infer Information? A Theoretical and Empirical Analysis in The Chameleon Game AAMAS 2026 IG-MCTS: Human-in-the-Loop Cooperative Navigation under Incomplete Information AAMAS 51 T1125 papers17 members24 alumniUS UCSDElectrical and Computer Engineering Dec 15
Develops robot learning, planning and autonomous surgical robotics.
2026 In vivo feasibility study of humanoid robots in surgery Nature 2026 Real-time Rendering-based Surgical Instrument Tracking via Evolutionary Optimization IROS 45 T161 papers13 members35 alumniUS CMURobotics Institute Dec 9
Studies safe and efficient robot control and human-robot collaboration, including verification of neural networks.
2026 Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories RSS 2026 Inference-Time Robot Behavior Steering through Physically-Aware Reconfiguration of Task-Structure CoRL 43 T1102 papers15 members34 alumniUS UCSDElectrical and Computer Engineering Dec 15
Works on robot perception and planning, including probabilistic SLAM, active information gathering and learning-based navigation.
2026 Control Barrier Corridors: From Safety Functions to Safe Goal Sets ICRA 2026 Expanding Safe Sets with Learning-Based Barrier Functions and Reachability IROS 35 T173 papers19 members175 alumniCH EPFLInstitute of Bioengineering (IBI, School of Engineering STI) Dec 1
Leads the Biorobotics Laboratory, studying locomotion control with legged and amphibious robots, central pattern generators and neuromechanical simulation.
2026 Bioinspired multimodal robotics Science Robotics 2026 Centralized brain networks controlling antennal grooming coordination Nature Communications 34 T192 papers11 members27 alumniUS CMURobotics Institute Dec 9
Studies learning-based control for agile robots, combining control theory and machine learning.
2026 AM-Bench: A Modular Simulation Suite and Benchmark for Aerial Manipulation Policy Learning CoRL 2026 BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning ICLR 34 T137 papers17 members26 alumniSG NUSDepartment of Mechanical Engineering Dec 15
Leads the MARMoT Lab on distributed deep reinforcement learning for decentralized multi-robot cooperation and high-DoF articulated robots.
2026 A Tilt-Rotor with a Gripper for Stable Contact-Based Tasks via Environmental Anchoring IROS 2026 APEX: Action Priors Enable Efficient Exploration for Robust Motion Tracking on Legged Robots IROS 34 T159 papers13 members49 alumniUS UMDComputer Science
Develops algorithms for multi-robot planning, active sensing and environmental monitoring with aerial and ground robots.
2026 Adaptive Conformal Guidance for Learning under Uncertainty ICLR 2026 Dual-Uncertainty Guided Policy Learning for Multimodal Reasoning EMNLP 34 T148 papers5 members22 alumniHK CUHKDepartment of Computer Science and Engineering Dec 1
Studies machine learning theory, deep generative models, optimization and information theory, including optimal transport.
2026 Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation AAAI 2026 DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative Models ICLR 33 T147 papersGroup size not listed US UT AustinComputer Science Dec 15
Leads the Autonomous Mobile Robotics Lab, working on perception, planning, long-term autonomy and failure recovery for mobile robots.
2026 BEV-Patch-PF: Particle Filtering with BEV-Aerial Feature Matching for Off-Road Geo-Localization ICRA 2026 COMPASS: Cross-Embodiment Mobility Policy via Residual RL and Skill Synthesis ICRA 31 T154 papers8 members23 alumni