Zifan Xu | DeepAI

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∙ 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. ∙

∙ 01/18/2023

A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems

Despite the advancement of machine learning techniques in recent years, ...

9 Megan M. Baker, et al. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 03/21/2022

Automated detection of foreground speech with wearable sensing in everyday home environments: A transfer learning approach

Acoustic sensing has proved effective as a foundation for numerous appli...

0 Dawei Liang, et al. ∙

∙ 05/17/2021

APPL: Adaptive Planner Parameter Learning

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

0 Xuesu Xiao, et al. ∙

∙ 03/09/2021

A Scavenger Hunt for Service Robots

Creating robots that can perform general-purpose service tasks in a huma...

1 Harel Yedidsion, et al. ∙

∙ 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. ∙

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