| 2025 | ICRA | Diverse Motion Planning with Stein Diffusion Trajectory Inference. | Zeya Yin, Tin Lai, Lucas Barcelos, Jayadeep Jacob, Yonghui Li, Fabio Ramos |
| 2024 | IROS | Do One Thing and Do It Well: Delegate Responsibilities in Classical Planning. | Tin Lai, Philippe Morere |
| 2024 | IROS | Neural Kinodynamic Planning: Learning for KinoDynamic Tree Expansion. | Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos |
| 2024 | IROS | Stein Movement Primitives for Adaptive Multi-Modal Trajectory Generation. | Zeya Yin, Tin Lai, Subhan Khan, Jayadeep Jacob, Yonghui Li, Fabio Ramos |
| 2022 | ICML | Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks. | Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos |
| 2022 | IROS | LTR*: Rapid Replanning in Executing Consecutive Tasks with Lazy Experience Graph. | Tin Lai, Fabio Ramos |
| 2022 | IROS | Discover Life Skills for Planning as Bandits via Observing and Learning How the World Works. | Tin Lai |
| 2021 | CoRL | Parallelised Diffeomorphic Sampling-based Motion Planning. | Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos |
| 2021 | IROS | PlannerFlows: Learning Motion Samplers with Normalising Flows. | Tin Lai, Fabio Ramos |
| 2021 | IROS | Trajectory Generation in New Environments from Past Experiences. | Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos |
| 2021 | ICRA | Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. | Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos |
| 2019 | ICRA | Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees. | Tin Lai, Fabio Ramos, Gilad Francis |