We present a novel learning algorithm for trajectory generation for outd...
This paper investigates the rational thinking capability of Large Langua...
The 2nd BARN (Benchmark Autonomous Robot Navigation) Challenge took plac...
A major challenge to deploying robots widely is navigation in human-popu...
Most autonomous navigation systems assume wheeled robots are rigid bodie...
Humans are well-adept at navigating public spaces shared with others, wh...
This paper studies a team coordination problem in a graph environment.
S...
Most conventional wheeled robots can only move in flat environments and
...
Machine learning approaches have recently enabled autonomous navigation ...
Deep reinforcement learning (RL) has brought many successes for autonomo...
While current systems for autonomous robot navigation can produce safe a...
Despite decades of research, existing navigation systems still face
real...
The BARN (Benchmark Autonomous Robot Navigation) Challenge took place at...
Learning dynamics models accurately is an important goal for Model-Based...
Accurate control of robots in the real world requires a control system t...
Enabling socially acceptable behavior for situated agents is a major goa...
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...
Autonomous mobile robots deployed in outdoor environments must reason ab...
Classical autonomous navigation systems can control robots in a
collisio...
This paper presents a self-supervised Learning from Learned Hallucinatio...
Most current approaches to social navigation focus on the trajectory and...
With the approaching goal of having robots collaborate in shared human-r...
While imitation learning for vision based autonomous mobile robot naviga...
While current autonomous navigation systems allow robots to successfully...
Many municipalities and large organizations have fleets of vehicles that...
This paper presents a learning-based approach to consider the effect of
...
Moving in complex environments is an essential capability of intelligent...
While classical autonomous navigation systems can typically move robots ...
Classical navigation systems typically operate using a fixed set of
hand...
Learning motion planners to move robot from one point to another within ...
Learning from Hallucination (LfH) is a recent machine learning paradigm ...
Metric ground navigation addresses the problem of autonomously moving a ...
This paper presents a continually self-improving lifelong learning frame...
While classical approaches to autonomous robot navigation currently enab...
This work creates a model of the value of different external viewpoints ...
This research aims at developing path and motion planning algorithms for...
Existing autonomous robot navigation systems allow robots to move from o...
In this paper, an autonomous tethered Unmanned Aerial Vehicle (UAV) is
d...
This paper proposes a formal robot motion risk reasoning framework and
d...
This paper presents a formal and comprehensive reasoning framework for r...
This paper presents an approach for estimating the operational range for...
This paper presents a formal definition and explicit representation of r...
This paper proposes and benchmarks two tether-based motion primitives fo...
This paper develops an autonomous tethered aerial visual assistant for r...
This paper develops a path planner that minimizes risk (e.g. motion
exec...
Mobile robots are increasingly being used to assist with active pursuit ...
This paper develops and compares two motion planning algorithms for a
te...