activity
20112022
most citedFinding Approximate POMDP solutions Through Belief Compression

255 citations · 492 across the 24 of their papers we have counts for

collaborators

27 papers

cs.RO2022★ 3 cited

Robotic Planning under Uncertainty in Spatiotemporal Environments in Expeditionary Science

Victoria Preston, Genevieve Flaspohler, Anna P. M. Michel +2

In the expeditionary sciences, spatiotemporally varying environments -- hydrothermal plumes, algal blooms, lava flows, or animal migrations -- are ubiquitous. Mobile robots are uni…

cs.RO2022★ 1 cited

Technical Report: A Hierarchical Deliberative-Reactive System Architecture for Task and Motion Planning in Partially Known Environments

Vasileios Vasilopoulos, Sebastian Castro, William Vega-Brown +2

We describe a task and motion planning architecture for highly dynamic systems that combines a domain-independent sampling-based deliberative planning algorithm with a global react…

cs.RO2021★ 33 cited

From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence

Nicholas Roy, Ingmar Posner, Tim Barfoot +17

Machine learning has long since become a keystone technology, accelerating science and applications in a broad range of domains. Consequently, the notion of applying learning metho…

cs.RO2021★ 30 cited

Convex Iteration for Distance-Geometric Inverse Kinematics

Matthew Giamou, Filip Marić, David M. Rosen +4

Inverse kinematics (IK) is the problem of finding robot joint configurations that satisfy constraints on the position or pose of one or more end-effectors. For robots with redundan…

cs.RO2021★ 13 cited

Active Learning of Abstract Plan Feasibility

Michael Noseworthy, Caris Moses, Isaiah Brand +4

Long horizon sequential manipulation tasks are effectively addressed hierarchically: at a high level of abstraction the planner searches over abstract action sequences, and when a…

cs.RO2021★ 1 cited

Language Understanding for Field and Service Robots in a Priori Unknown Environments

Matthew R. Walter, Siddharth Patki, Andrea F. Daniele +7

Contemporary approaches to perception, planning, estimation, and control have allowed robots to operate robustly as our remote surrogates in uncertain, unstructured environments. T…