We focus on the problem of rearranging a set of objects with a team of
c...
We focus on robot navigation in crowded environments. To navigate safely...
During in-hand manipulation, robots must be able to continuously estimat...
Benchmarks for robot manipulation are crucial to measuring progress in t...
Efficient and reliable generation of global path plans are necessary for...
We focus on the problem of analyzing multiagent interactions in traffic
...
We focus on the problem of planning safe and efficient motion for a ball...
For robots to operate in a three dimensional world and interact with hum...
Sampling-based motion planners rely on incremental densification to disc...
A key challenge in Imitation Learning (IL) is that optimal state actions...
We focus on decentralized navigation among multiple non-communicating
ra...
Autonomous robot-assisted feeding requires the ability to acquire a wide...
Chopsticks constitute a simple yet versatile tool that humans have used ...
We focus on navigation among rational, non-communicating agents at
unsig...
Collision checking is a computational bottleneck in motion planning,
req...
Informed and robust decision making in the face of uncertainty is critic...
We focus on the problem of designing an artificial agent, capable of
ass...
We focus on the problem of designing an artificial agent capable of assi...
We present MuSHR, the Multi-agent System for non-Holonomic Racing. MuSHR...
Successful robot-assisted feeding requires bite acquisition of a wide va...
Successful robot-assisted feeding requires bite acquisition of a wide va...
We consider the problem of leveraging prior experience to generate roadm...
A robot-assisted feeding system must successfully acquire many different...
We present the first PAC optimal algorithm for Bayes-Adaptive Markov Dec...
Addressing uncertainty is critical for autonomous systems to robustly ad...
We describe a single fingertip-mounted sensing system for robot manipula...
Autonomous assistive feeding is challenging because it requires manipula...
We propose an algorithmic framework for efficient anytime motion plannin...
We present an algorithm for obtaining an optimal control policy for hybr...
The Lazy Shortest Path (LazySP) class consists of motion-planning algori...
This paper introduces a novel system identification and tracking method ...