William Silva — accepted AI-conference papers

2022

LanCon-Learn: Learning With Language to Enable Generalization in Multi-Task Manipulation

Andrew Silva, Nina Moorman, William Silva, Zulfiqar Zaidi, Nakul Gopalan, Matthew C. Gombolay

RA-L 2022

Robots must be capable of learning from previously solved tasks and generalizing that knowledge to quickly perform new tasks to realize the vision of ubiquitous and useful robot assistance in the real world. While multi-task learning research has produced agents capable of performing multiple tasks,

Cited by 39 Source ↗Scholar ↗

2016

Any-time path-planning: Time-varying wind field + moving obstacles

Michael W. Otte, William Silva, Eric W. Frew

ICRA 2016

We consider the problem of real-time path-planning in a spatiotemporally varying wind-field with moving obstacles. We are provided with changing wind and obstacle predictions along a (D + 1)-dimensional space-time lattice. We present an Any-Time algorithm that quickly finds an αβ-suboptimal solution

Cited by 32 Source ↗Scholar ↗