Kaess, Michael

12 publications

CoRL 2025 Self-Supervised Perception for Tactile Skin Covered Dexterous Hands Akash Sharma, Carolina Higuera, Chaithanya Krishna Bodduluri, Zixi Liu, Taosha Fan, Tess Hellebrekers, Mike Lambeta, Byron Boots, Michael Kaess, Tingfan Wu, Francois Robert Hogan, Mustafa Mukadam

CoRL 2025 Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation Carolina Higuera, Akash Sharma, Taosha Fan, Chaithanya Krishna Bodduluri, Byron Boots, Michael Kaess, Mike Lambeta, Tingfan Wu, Zixi Liu, Francois Robert Hogan, Mustafa Mukadam

CoRL 2024 Sparsh: Self-Supervised Touch Representations for Vision-Based Tactile Sensing Carolina Higuera, Akash Sharma, Chaithanya Krishna Bodduluri, Taosha Fan, Patrick Lancaster, Mrinal Kalakrishnan, Michael Kaess, Byron Boots, Mike Lambeta, Tingfan Wu, Mustafa Mukadam

ICMLW 2023 Learning Observation Models with Incremental Non-Differentiable Graph Optimizers in the Loop for Robotics State Estimation Mohamad Qadri, Michael Kaess

ICCV 2023 Neural Radiance Field with LiDAR Maps MingFang Chang, Akash Sharma, Michael Kaess, Simon Lucey

CVPR 2022 Long-Term Visual mAP Sparsification with Heterogeneous GNN Ming-Fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey

CoRL 2022 MidasTouch: Monte-Carlo Inference over Distributions Across Sliding Touch Sudharshan Suresh, Zilin Si, Stuart Anderson, Michael Kaess, Mustafa Mukadam

CoRL 2021 LEO: Learning Energy-Based Models in Factor Graph Optimization Paloma Sodhi, Eric Dexheimer, Mustafa Mukadam, Stuart Anderson, Michael Kaess

AAAI 2019 A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance Lipu Zhou, Yi Yang, Montiel Abello, Michael Kaess

IJCAI 2007 Fast Incremental Square Root Information Smoothing Michael Kaess, Ananth Ranganathan, Frank Dellaert

IJCAI 2007 Loopy SAM Ananth Ranganathan, Michael Kaess, Frank Dellaert

ECCV 2004 MCMC-Based Multiview Reconstruction of Piecewise Smooth Subdivision Curves with a Variable Number of Control Points Michael Kaess, Rafal Zboinski, Frank Dellaert