7 citations · 23 across the 11 of their papers we have counts for
5 papers
Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking
JunYoung Gwak, Silvio Savarese, Jeannette Bohg
Recent research in multi-task learning reveals the benefit of solving related problems in a single neural network. 3D object detection and multi-object tracking (MOT) are two heavi…
Rethinking Optimization with Differentiable Simulation from a Global Perspective
Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula +1
Differentiable simulation is a promising toolkit for fast gradient-based policy optimization and system identification. However, existing approaches to differentiable simulation ha…
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation
Rika Antonova, Jingyun Yang, Priya Sundaresan +3
Deformable object manipulation remains a challenging task in robotics research. Conventional techniques for parameter inference and state estimation typically rely on a precise def…
Probabilistic Articulated Real-Time Tracking for Robot Manipulation
Cristina Garcia Cifuentes, Jan Issac, Manuel Wüthrich +2
We propose a probabilistic filtering method which fuses joint measurements with depth images to yield a precise, real-time estimate of the end-effector pose in the camera frame. Th…
Latest Datasets and Technologies Presented in the Workshop on Grasping and Manipulation Datasets
Matteo Bianchi, Jeannette Bohg, Yu Sun
This paper reports the activities and outcomes in the Workshop on Grasping and Manipulation Datasets that was organized under the International Conference on Robotics and Automatio…