1 citations · 1 across the 5 of their papers we have counts for
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Neural Implicit Action Fields: From Discrete Waypoints to Continuous Functions for Vision-Language-Action Models
Haoyun Liu, Jianzhuang Zhao, Xinyuan Chang +11
Despite the rapid progress of vision-language-action (VLA) models, the prevailing practice of predicting action chunks as discrete waypoints remains structurally misaligned with th…
RUMI: Rummaging Using Mutual Information
Sheng Zhong, Nima Fazeli, Dmitry Berenson
This paper presents Rummaging Using Mutual Information (RUMI), a method for online generation of robot action sequences to gather information about the pose of a known movable obje…
CHSEL: Producing Diverse Plausible Pose Estimates from Contact and Free Space Data
Sheng Zhong, Nima Fazeli, Dmitry Berenson
This paper proposes a novel method for estimating the set of plausible poses of a rigid object from a set of points with volumetric information, such as whether each point is in fr…
Soft Tracking Using Contacts for Cluttered Objects to Perform Blind Object Retrieval
Sheng Zhong, Nima Fazeli, Dmitry Berenson
Retrieving an object from cluttered spaces suchas cupboards, refrigerators, or bins requires tracking objects with limited or no visual sensing. In these scenarios, contact feedbac…
TAMPC: A Controller for Escaping Traps in Novel Environments
Sheng Zhong, Zhenyuan Zhang, Nima Fazeli +1
We propose an approach to online model adaptation and control in the challenging case of hybrid and discontinuous dynamics where actions may lead to difficult-to-escape "trap" stat…