Simple Notes: Designing learnable information-theoretic objectives for robot exploration remains challenging. How do we ensure autonomous robots gather the most useful data while keeping estimation uncertainty strictly bounded?

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How do we ensure autonomous robots gather the most useful data while keeping estimation uncertainty strictly bounded? Autonomous Surface Vehicle (ASV) Field Trial This video demonstrates the real-world deployment and field trial of our ...

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Authors: Zhipeng Zhao, Taimeng Fu, Shaoshu Su, Qiwei Du, Ehsan Tarkesh Esfahani, Karthik Dantu, Souma Chowdhury, and ... Autonomous Underwater Vehicle (AUV) Field Trial This video demonstrates the real-world deployment and field trial of our ... Designing learnable information-theoretic objectives for robot exploration remains challenging.

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  • Autonomous Underwater Vehicle (AUV) Field Trial This video demonstrates the real-world deployment and field trial of our ...
  • How do we ensure autonomous robots gather the most useful data while keeping estimation uncertainty strictly bounded?
  • Authors: Zhipeng Zhao, Taimeng Fu, Shaoshu Su, Qiwei Du, Ehsan Tarkesh Esfahani, Karthik Dantu, Souma Chowdhury, and ...
  • Autonomous Surface Vehicle (ASV) Field Trial This video demonstrates the real-world deployment and field trial of our ...

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[RSS 2026] Safe Multi-Agent Navigation via Constrained HJB-Informed Learning
RSS 2020 Workshop Talk: Multiagent Autonomy and Navigation
[RSS 2026] Learning When to Jump for Off-road Navigation
[RSS 2026] Learning What Matters: Adaptive Information Theoretic Objectives for Robot Exploration
Informative Path Planning with Guaranteed Estimation Uncertainty | RSS 2026
AUV Field Trial: Informative Path Planning with Guaranteed Estimation Uncertainty | RSS 2026
IDSI-SO: A Multi-Agent Safe RL Navigation Based on Threat Assessment in  Dynamic Environments(New)
The Ultimate Guide to Multi-Agent AI Systems in 2026: Architectures, Frameworks, and Use Cases
ASV Field Trial: Informative Path Planning with Guaranteed Estimation Uncertainty | RSS 2026
Main Video: A Hybrid RRT*-CBF Approach for Safe Navigation of Autonomous Underwater Vehicles
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[RSS 2026] Safe Multi-Agent Navigation via Constrained HJB-Informed Learning

[RSS 2026] Safe Multi-Agent Navigation via Constrained HJB-Informed Learning

Read more details and related context about [RSS 2026] Safe Multi-Agent Navigation via Constrained HJB-Informed Learning.

RSS 2020 Workshop Talk: Multiagent Autonomy and Navigation

RSS 2020 Workshop Talk: Multiagent Autonomy and Navigation

Read more details and related context about RSS 2020 Workshop Talk: Multiagent Autonomy and Navigation.

[RSS 2026] Learning When to Jump for Off-road Navigation

[RSS 2026] Learning When to Jump for Off-road Navigation

Authors: Zhipeng Zhao, Taimeng Fu, Shaoshu Su, Qiwei Du, Ehsan Tarkesh Esfahani, Karthik Dantu, Souma Chowdhury, and ...

[RSS 2026] Learning What Matters: Adaptive Information Theoretic Objectives for Robot Exploration

[RSS 2026] Learning What Matters: Adaptive Information Theoretic Objectives for Robot Exploration

Designing learnable information-theoretic objectives for robot exploration remains challenging. Such objectives aim to guide ...

Informative Path Planning with Guaranteed Estimation Uncertainty | RSS 2026

Informative Path Planning with Guaranteed Estimation Uncertainty | RSS 2026

How do we ensure autonomous robots gather the most useful data while keeping estimation uncertainty strictly bounded?

AUV Field Trial: Informative Path Planning with Guaranteed Estimation Uncertainty | RSS 2026

AUV Field Trial: Informative Path Planning with Guaranteed Estimation Uncertainty | RSS 2026

Autonomous Underwater Vehicle (AUV) Field Trial This video demonstrates the real-world deployment and field trial of our ...

IDSI-SO: A Multi-Agent Safe RL Navigation Based on Threat Assessment in  Dynamic Environments(New)

IDSI-SO: A Multi-Agent Safe RL Navigation Based on Threat Assessment in Dynamic Environments(New)

Read more details and related context about IDSI-SO: A Multi-Agent Safe RL Navigation Based on Threat Assessment in Dynamic Environments(New).

The Ultimate Guide to Multi-Agent AI Systems in 2026: Architectures, Frameworks, and Use Cases

The Ultimate Guide to Multi-Agent AI Systems in 2026: Architectures, Frameworks, and Use Cases

Read more details and related context about The Ultimate Guide to Multi-Agent AI Systems in 2026: Architectures, Frameworks, and Use Cases.

ASV Field Trial: Informative Path Planning with Guaranteed Estimation Uncertainty | RSS 2026

ASV Field Trial: Informative Path Planning with Guaranteed Estimation Uncertainty | RSS 2026

Autonomous Surface Vehicle (ASV) Field Trial This video demonstrates the real-world deployment and field trial of our ...

Main Video: A Hybrid RRT*-CBF Approach for Safe Navigation of Autonomous Underwater Vehicles

Main Video: A Hybrid RRT*-CBF Approach for Safe Navigation of Autonomous Underwater Vehicles

Read more details and related context about Main Video: A Hybrid RRT*-CBF Approach for Safe Navigation of Autonomous Underwater Vehicles.