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News
- Our paper on the Interactive Text2Pickup network is accepted to IEEE RA-L
- Two papers from RLLAB are accepted to IROS 2019
- Our paper on consensus of non-rigid reconstruction is accepted to PAMI
- [Invited Talk] Minimizing the reality-gap between simulations and real-world
- Two papers from RLLAB are accepted to ICCV 2019
- Our paper on nonrigid point cloud registration is accepted to CVIU
- Our paper on sparse MDPs is accepted to IEEE RA-L
- Our paper on robust learning from demonstrations using LGPR is accepted to IEEE Transactions on Robotics (T-RO)
- [Call for Papers] MFI 2017
- [Invited Talk] Unifying Logic and Probability: The BLOG language
- Videos and photos from the RC Car Navigation Challenge
- Record number of 5 papers are accepted to ICRA 2018
- [Invited Talk] Partial Monotonic Functions and Deep Lattice Networks in TensorFlow
- Our paper on convolutional random projection forests is accepted to PAMI
- Our paper on nested sparse networks is accepted to CVPR 2018 as a spotlight presentation
- Two papers from RLLAB are accepted to ICRA 2020
- Our paper on reinforcement learning for soft robots is accepted to IEEE RA-L
- Our work is featured in IEEE Spectrum
- Our lab is selected as SW Star Lab
- Our paper on image generation from local patches using GAN is accepted to ECCV 2018
- Our paper on deep virtual networks is accepted to CVPR 2019
- Our paper on distributional deep RL with GMMs is accepted to ICRA 2019
- Our paper on generating 3D dance moves from music (Music2Dance) is accepted to IEEE RA-L
- Our paper on non-rigid surface recovery is accepted to Pattern Recognition Letters
- Three papers from CPSLAB are accepted to IROS 2017
- Our paper on cost-aware path planning under LTL is accepted to IEEE Robotics and Automation Letters (RA-L)
- Our paper on online personalized learning is accepted to IEEE Robotics and Automation Letters (RA-L)
- Our paper on chance-constrained target tracking is accepted to Autonomous Robots
- Our paper on cost-aware path planning is accepted to IEEE Transactions on Robotics (T-RO)
- Our paper on robust path planning under LTL is accepted to CDC 2017
- [Invited Talk] Planning with State Abstractions for Non-Markovian Task Specifications
- Our paper on maximum Tsallis entropy imitation learning is accepted to NIPS 2018
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