11 papers
Self-Supervised Learning of Dynamic Planar Manipulation of Free-End Cables
Jonathan Wang, Huang Huang, Vincent Lim +5
Dynamic manipulation of free-end cables has applications for cable management in homes, warehouses and manufacturing plants. We present a supervised learning approach for dynamic m…
Learning Correspondence for Deformable Objects
Priya Sundaresan, Aditya Ganapathi, Harry Zhang +1
We investigate the problem of pixelwise correspondence for deformable objects, namely cloth and rope, by comparing both classical and learning-based methods. We choose cloth and ro…
Safe Deep Model-Based Reinforcement Learning with Lyapunov Functions
Harry Zhang
Model-based Reinforcement Learning (MBRL) has shown many desirable properties for intelligent control tasks. However, satisfying safety and stability constraints during training an…
Towards Improving Learning from Demonstration Algorithms via MCMC Methods
Carl Qi, Edward Sun, Harry Zhang
Behavioral cloning, or more broadly, learning from demonstrations (LfD) is a priomising direction for robot policy learning in complex scenarios. Albeit being straightforward to im…
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification
Sitian Shen, Zilin Zhu, Linqian Fan +2
Large pre-trained models have had a significant impact on computer vision by enabling multi-modal learning, where the CLIP model has achieved impressive results in image classifica…
APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables Consistency
Yupu Yao, Shangqi Deng, Zihan Cao +2
Diffusion models have exhibited promising progress in video generation. However, they often struggle to retain consistent details within local regions across frames. One underlying…