b'Xuesu Xiao'

research

∙ 09/15/2023

MTG: Mapless Trajectory Generator with Traversability Coverage for Outdoor Navigation

We present a novel learning algorithm for trajectory generation for outd...

0 Jing Liang, et al. ∙

research

∙ 08/18/2023

How susceptible are LLMs to Logical Fallacies?

This paper investigates the rational thinking capability of Large Langua...

1 Amirreza Payandeh, et al. ∙

research

∙ 08/06/2023

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 2nd BARN Challenge at ICRA 2023

The 2nd BARN (Benchmark Autonomous Robot Navigation) Challenge took plac...

0 Xuesu Xiao, et al. ∙

research

∙ 06/29/2023

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms

A major challenge to deploying robots widely is navigation in human-popu...

0 Anthony Francis, et al. ∙

research

∙ 06/20/2023

Learning to Model and Plan for Wheeled Mobility on Vertically Challenging Terrain

Most autonomous navigation systems assume wheeled robots are rigid bodie...

0 Aniket Datar, et al. ∙

research

∙ 03/27/2023

Toward Human-Like Social Robot Navigation: A Large-Scale, Multi-Modal, Social Human Navigation Dataset

Humans are well-adept at navigating public spaces shared with others, wh...

0 Duc M. Nguyen, et al. ∙

research

∙ 03/20/2023

Team Coordination on Graphs with State-Dependent Edge Cost

This paper studies a team coordination problem in a graph environment. S...

0 Sara Oughourli, et al. ∙

research

∙ 03/02/2023

Toward Wheeled Mobility on Vertically Challenging Terrain: Platforms, Datasets, and Algorithms

Most conventional wheeled robots can only move in flat environments and ...

0 Aniket Datar, et al. ∙

research

∙ 10/10/2022

Learning Real-world Autonomous Navigation by Self-Supervised Environment Synthesis

Machine learning approaches have recently enabled autonomous navigation ...

0 Zifan Xu, et al. ∙

research

∙ 10/10/2022

Benchmarking Reinforcement Learning Techniques for Autonomous Navigation

Deep reinforcement learning (RL) has brought many successes for autonomo...

10 Zifan Xu, et al. ∙

research

∙ 09/27/2022

Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways

While current systems for autonomous robot navigation can produce safe a...

0 Jin Soo Park, et al. ∙

research

∙ 09/22/2022

Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation

Despite decades of research, existing navigation systems still face real...

16 Xuesu Xiao, et al. ∙

research

∙ 08/22/2022

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022

The BARN (Benchmark Autonomous Robot Navigation) Challenge took place at...

0 Xuesu Xiao, et al. ∙

research

∙ 06/27/2022

Causal Dynamics Learning for Task-Independent State Abstraction

Learning dynamics models accurately is an important goal for Model-Based...

14 Zizhao Wang, et al. ∙

research

∙ 06/16/2022

High-Speed Accurate Robot Control using Learned Forward Kinodynamics and Non-linear Least Squares Optimization

Accurate control of robots in the real world requires a control system t...

20 Pranav Atreya, et al. ∙

research

∙ 04/11/2022

A Protocol for Validating Social Navigation Policies

Enabling socially acceptable behavior for situated agents is a major goa...

0 Sören Pirk, et al. ∙

research

∙ 03/30/2022

VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics

One of the key challenges in high speed off road navigation on ground ve...

8 Haresh Karnan, et al. ∙

research

∙ 03/28/2022

Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation

Social navigation is the capability of an autonomous agent, such as a ro...

2 Haresh Karnan, et al. ∙

research

∙ 09/18/2021

Visual Representation Learning for Preference-Aware Path Planning

Autonomous mobile robots deployed in outdoor environments must reason ab...

8 Kavan Singh Sikand, et al. ∙

research

∙ 08/22/2021

APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback

Classical autonomous navigation systems can control robots in a collisio...

0 Zizhao Wang, et al. ∙

research

∙ 08/22/2021

From Agile Ground to Aerial Navigation: Learning from Learned Hallucination

This paper presents a self-supervised Learning from Learned Hallucinatio...

0 Zizhao Wang, et al. ∙

research

∙ 07/08/2021

Incorporating Gaze into Social Navigation

Most current approaches to social navigation focus on the trajectory and...

0 Justin Hart, et al. ∙

research

∙ 06/23/2021

Prevention and Resolution of Conflicts in Social Navigation – a Survey

With the approaching goal of having robots collaborate in shared human-r...

3 Reuth Mirsky, et al. ∙

research

∙ 05/19/2021

VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation

While imitation learning for vision based autonomous mobile robot naviga...

8 Haresh Karnan, et al. ∙

research

∙ 05/17/2021

APPL: Adaptive Planner Parameter Learning

While current autonomous navigation systems allow robots to successfully...

0 Xuesu Xiao, et al. ∙

research

∙ 05/08/2021

Team Orienteering Coverage Planning with Uncertain Reward

Many municipalities and large organizations have fleets of vehicles that...

0 Bo Liu, et al. ∙

research

∙ 02/25/2021

Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain

This paper presents a learning-based approach to consider the effect of ...

0 Xuesu Xiao, et al. ∙

research

∙ 11/26/2020

Motion Control for Mobile Robot Navigation Using Machine Learning: a Survey

Moving in complex environments is an essential capability of intelligent...

0 Xuesu Xiao, et al. ∙

research

∙ 11/01/2020

APPLI: Adaptive Planner Parameter Learning From Interventions

While classical autonomous navigation systems can typically move robots ...

0 Zizhao Wang, et al. ∙

research

∙ 11/01/2020

APPLR: Adaptive Planner Parameter Learning from Reinforcement

Classical navigation systems typically operate using a fixed set of hand...

0 Zifan Xu, et al. ∙

research

∙ 10/19/2020

Extended Abstract: Motion Planners Learned from Geometric Hallucination

Learning motion planners to move robot from one point to another within ...

0 Xuesu Xiao, et al. ∙

research

∙ 10/16/2020

Agile Robot Navigation through Hallucinated Learning and Sober Deployment

Learning from Hallucination (LfH) is a recent machine learning paradigm ...

0 Xuesu Xiao, et al. ∙

research

∙ 08/31/2020

Benchmarking Metric Ground Navigation

Metric ground navigation addresses the problem of autonomously moving a ...

0 Daniel Perille, et al. ∙

research

∙ 07/28/2020

Lifelong Navigation

This paper presents a continually self-improving lifelong learning frame...

0 Bo Liu, et al. ∙

research

∙ 07/28/2020

Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination

While classical approaches to autonomous robot navigation currently enab...

0 Xuesu Xiao, et al. ∙

research

∙ 07/20/2020

Best Viewpoints for External Robots or Sensors Assisting Other Robots

This work creates a model of the value of different external viewpoints ...

0 Jan Dufek, et al. ∙

research

∙ 07/19/2020

Risk-aware Path and Motion Planning for a Tethered Aerial Visual Assistant in Unstructured or Confined Environments

This research aims at developing path and motion planning algorithms for...

0 Xuesu Xiao, et al. ∙

research

∙ 03/31/2020

APPLD: Adaptive Planner Parameter Learning from Demonstration

Existing autonomous robot navigation systems allow robots to move from o...

0 Xuesu Xiao, et al. ∙

research

∙ 01/15/2020

Tethered Aerial Visual Assistance

In this paper, an autonomous tethered Unmanned Aerial Vehicle (UAV) is d...

0 Xuesu Xiao, et al. ∙

research

∙ 09/09/2019

Robot Risk-Awareness by Formal Risk Reasoning and Planning

This paper proposes a formal robot motion risk reasoning framework and d...

0 Xuesu Xiao, et al. ∙

research

∙ 09/05/2019

Robot Motion Risk Reasoning Framework

This paper presents a formal and comprehensive reasoning framework for r...

0 Xuesu Xiao, et al. ∙

research

∙ 05/29/2019

ORangE: Operational Range Estimation for Mobile Robot Exploration on a Single Discharge Cycle

This paper presents an approach for estimating the operational range for...

0 Kshitij Tiwari, et al. ∙

research

∙ 04/16/2019

Explicit Motion Risk Representation

This paper presents a formal definition and explicit representation of r...

0 Xuesu Xiao, et al. ∙

research

∙ 04/16/2019

Benchmarking Tether-based UAV Motion Primitives

This paper proposes and benchmarks two tether-based motion primitives fo...

0 Xuesu Xiao, et al. ∙

research

∙ 03/29/2019

Autonomous Visual Assistance for Robot Operations Using a Tethered UAV

This paper develops an autonomous tethered aerial visual assistant for r...

0 Xuesu Xiao, et al. ∙

research

∙ 03/07/2019

Explicit-risk-aware Path Planning with Reward Maximization

This paper develops a path planner that minimizes risk (e.g. motion exec...

0 Xuesu Xiao, et al. ∙

research

∙ 11/07/2018

Estimating Achievable Range of Ground Robots Operating on Single Battery Discharge for Operational Efficacy Amelioration

Mobile robots are increasingly being used to assist with active pursuit ...

0 Kshitij Tiwari, et al. ∙

research

∙ 11/06/2018

Motion Planning for a UAV with a Straight or Kinked Tether

This paper develops and compares two motion planning algorithms for a te...

0 Xuesu Xiao, et al. ∙

Xuesu Xiao

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