2 citations · 3 across the 10 of their papers we have counts for
10 papers
Physically-based Lighting Generation for Robotic Manipulation
Shutong Jin, Lezhong Wang, Ben Temming +1
In this paper, we propose the first framework that leverages physically-based inverse rendering for novel lighting generation on existing real-world human demonstrations of robotic…
Federated Learning for Large-Scale Cloud Robotic Manipulation: Opportunities and Challenges
Obaidullah Zaland, Chanh Nguyen, Florian T. Pokorny +1
Federated Learning (FL) is an emerging distributed machine learning paradigm, where the collaborative training of a model involves dynamic participation of devices to achieve broad…
PACA: Perspective-Aware Cross-Attention Representation for Zero-Shot Scene Rearrangement
Shutong Jin, Ruiyu Wang, Kuangyi Chen +1
Scene rearrangement, like table tidying, is a challenging task in robotic manipulation due to the complexity of predicting diverse object arrangements. Web-scale trained generative…
Forward Invariance in Trajectory Spaces for Safety-critical Control
Matti Vahs, Rafael I. Cabral Muchacho, Florian T. Pokorny +1
Useful robot control algorithms should not only achieve performance objectives but also adhere to hard safety constraints. Control Barrier Functions (CBFs) have been developed to p…
Walk on Spheres for PDE-based Path Planning
Rafael I. Cabral Muchacho, Florian T. Pokorny
In this paper, we investigate the Walk on Spheres algorithm (WoS) for motion planning in robotics. WoS is a Monte Carlo method to solve the Dirichlet problem developed in the 50s b…
CloudGripper: An Open Source Cloud Robotics Testbed for Robotic Manipulation Research, Benchmarking and Data Collection at Scale
Muhammad Zahid, Florian T. Pokorny
We present CloudGripper, an open source cloud robotics testbed, consisting of a scalable, space and cost-efficient design constructed as a rack of 32 small robot arm work cells. Ea…