255 citations · 492 across the 24 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
Learning and Planning for Temporally Extended Tasks in Unknown Environments
Christopher Bradley, Adam Pacheck, Gregory J. Stein +3
We propose a novel planning technique for satisfying tasks specified in temporal logic in partially revealed environments. We define high-level actions derived from the environment…
Reactive Task and Motion Planning under Temporal Logic Specifications
Shen Li, Daehyung Park, Yoonchang Sung +2
We present a task-and-motion planning (TAMP) algorithm robust against a human operator's cooperative or adversarial interventions. Interventions often invalidate the current plan a…