Yue Gao
Professor
Works on robot learning, legged locomotion and reinforcement learning for robots.
Yue Gao's lab at SJTU works on manipulation & robot learning, legged locomotion & humanoids and reinforcement learning. 19 papers since 2023, 7 at top venues, mostly AAAI and CoRL. 4 PhD students and 9 master's students. 6 alumni. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 37%
- PhD students
- 4
- MS students
- 9
- alumni listed
- 6
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 2 · collecting
- 3 papers2025 · T1 2
- 8 papers2024 · T1 2
- 6 papers2023 · T1 1
T1 venuesOtherVenues: AAAI, CoRL, ICLR, Nature Machine Intelligence, RA-L
Research focuspaper titles that use each topic's words
- Manipulation & robot learning12 papers
- Reinforcement learning11 papers
- Legged locomotion & humanoids7 papers
- locomotion4 papers
- legged locomotion0 papers
Paper list
From the lab homepage.
20262 papers
- AAAI (T1)Coordinated Humanoid Robot Locomotion with Symmetry Equivariant Reinforcement Learning Policy
- AAAI (T1)Keep on Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training
20253 papers
- IEEE Robotics and Automation Letters (IEEE RA-L)Active Exploration and Online Perception of Terrain Physics with Legged Robots
- CoRL (T1)Contrastive Forward Prediction Reinforcement Learning for Adaptive Fault-Tolerant Legged Robots
- ICLR (T1)Select before Act: Spatially Decoupled Action Repetition for Continuous Control
20248 papers
- IEEE Robotics and Automation Letters (IEEE RA-L)Constrained Dirichlet Distribution Policy: Guarantee Zero Constraint Violation Reinforcement Learning for Continuous Robotic Control
- Nature Machine Intelligence (T1)Enhancing Fault Diagnostics in Cyber-Physical Systems through Hybrid Learning and Reinforcement
- Mechanism and Machine TheoryFault-tolerant gait design for quadruped robots with two locked legs using the Gf set theory
- AAAI (T1)Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks
- Proceedings of The IEEE International Conference on Real-time Computing and RoboticsLearning Capability to Enhance Locomotion Control and Planning for Legged Robots
- Engineering, 35 15-31Mechanism Design and Motion Planning of a Hexapod Curling Robot Exhibited During the Beijing 2022 Winter Olympics Games
- IEEE Transactions on Affective Computing (IEEE TAFFC)Multi-Modal Hierarchical Empathetic Framework for Social Robots With Affective Body Control
- IEEE Robotics and Automation Letters (IEEE RA-L)Robust Locomotion Policy with Adaptive Lipschitz Constraint for Legged Robots
20236 papers
- Advances in Neural Information Processing Systems (NIPS)Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction
- RA-LDAGA: Dynamics Aware Reinforcement Learning With Graph-Based Rapid Adaptation
- China Automation Congress (CAC)Generalized Mixture Model for Extreme Events Forecasting in Time Series Data
- TMI (T1)Graph Transformer Geometric Learning of Brain Networks Using Multimodal MR Images for Brain Age Estimation
- Journal of Intelligent & Robotic SystemsLearning to Solve Nonlinear Optimization Problem with Deep Reinforcement Learning
- China Automation Congress (CAC)Terrain-adaptive Central Pattern Generators with Reinforcement Learning for Hexapod Locomotion
Where alumni went6 listed
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
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