Autonomous mobility tasks such as lastmile delivery require reasoning ab...
We present an approach to ensure safe and deadlock-free navigation for
d...
Reward machines have shown great promise at capturing non-Markovian rewa...
A major challenge to deploying robots widely is navigation in human-popu...
Perception algorithms that provide estimates of their uncertainty are cr...
This paper presents a fully decentralized approach for realtime
non-coop...
This paper presents a new synthesis-based approach for solving the Learn...
Large language models (LLMs) have demonstrated remarkable zero-shot
gene...
We present SocialGym 2, a multi-agent navigation simulator for social ro...
Learning from demonstration (LfD) is a widely researched paradigm for
te...
We are witnessing a rapid increase in real-world autonomous robotic
depl...
A robot guide dog has compelling advantages over animal guide dogs for i...
We propose an extension to the MAPF formulation, called SocialMAPF, to
a...
Although robotics courses are well established in higher education, the
...
The BARN (Benchmark Autonomous Robot Navigation) Challenge took place at...
Accurate control of robots in the real world requires a control system t...
Sampling-based motion planners such as RRT* and BIT*, when applied to
ki...
Both pedestrian and robot comfort are of the highest priority whenever a...
One of the key challenges in high speed off road navigation on ground
ve...
Social navigation is the capability of an autonomous agent, such as a ro...
Accurate kinodynamic models play a crucial role in many robotics applica...
Robots deployed in settings such as warehouses and parking lots must cop...
Robots deployed in the real world over extended periods of time need to
...
Robots moving safely and in a socially compliant manner in dynamic human...
Autonomous mobile robots deployed in outdoor environments must reason ab...
We propose a new algorithm to simplify the controller development for
di...
Safe long-term deployment of a fleet of mobile robots requires reliable ...
Robot social navigation is influenced by human preferences and
environme...
This paper presents a learning-based approach to consider the effect of
...
Action selection policies (ASPs), used to compose low-level robot skills...
Existing solutions to visual simultaneous localization and mapping (V-SL...
Autonomous service mobile robots need to consistently, accurately, and
r...
Interest in semi-autonomous systems (SAS) is growing rapidly as a paradi...
State machines are a common model for robot behaviors. Transition functi...
Robots are a popular platform for introducing computing and artificial
i...
For service mobile robots to be most effective, it must be possible for
...
Vision, as an inexpensive yet information rich sensor, is commonly used ...
Multi-agent planning in dynamic domains is a challenging problem: the si...
Autonomous vehicles (AVs) require accurate metric and topological locati...
Complex robot behaviors are often structured as state machines, where st...
Building large-scale, globally consistent maps is a challenging problem,...