navware

Safe Worker-collaborative Navigation for Robotic Intralogistics in Infrastructure-free Warehouses

News

[2026-09-01]: Yifei presented our work at the Hi! PARIS 1st Workshop on 3D Perception and Navigation.

[2026-06-05]: Zhi presented our work at the 8th Long-term Human Motion Prediction Workshop @ ICRA 2026.

[2026-06-03]: We presented our NavWareSet at the Global HSR Forum @ ICRA 2026.

[2025-12-08]: We have been awarded a significant allocation of compute hours on the IDRIS Jean Zay supercomputer for our project!

[2025-11-24]: Ms. Yifei Cao joined us as a doctoral student!

[2025-05-06]: We participated in the “Fabriquer Demain” conference organized by ANR!

[2025-04-02]: We had in-depth exchanges with the industry at SITL!

[2025-04-01]: We are excited to be the first users of the mass-produced Tracer 2.0 from Agilex Robotics!

[2025-03-26]: Mr. Boyuan Zhang joined us as an intern!

[2024-07-15]: Mr. Johnata Brayan joined us as an intern!

[2024-02-29]: The project was kicked off!

About

Welcome to NavWare, a Jeunes Chercheuses et Jeunes Chercheurs (JCJC) research project in the field of mobile robotics funded by the French National Research Agency (ANR). NavWare’s ambition is to advance existing automated intralogistics from AGV-based solutions to AMR-based ones, allowing mobile robots to truly work alongside human workers. The project proposes to use data-driven methods to intervene in the AMR’s navigation layers for fast and reliable local obstacle avoidance and generalizable global path planning, and ultimately produce safe worker-collaborative robot navigation. NavWare will enable lower deployment and maintenance costs for AMRs in intralogistics and better system performance compared to existing technologies.

Team
Zhi Yan (PI)
Assistant Professor		 François Brémond
Research Director		 Johnata Brayan
Master’s student		 Boyuan Zhang
Master’s student		 Yifei Cao
Ph.D. student

Publications

  1. Zhi Yan. Collaborative Robot Navigation Evaluation Using Human-in-the-loop Simulation. Preprint, 2026.

  2. Johnata Brayan, Sihao Deng, Armando Alves Neto, Iaroslav Okunevich, Tomas Krajnik, Francois Bremond, and Zhi Yan. NavWareSet: A Dataset of Socially Compliant and Non-Compliant Robot Navigation. The International Journal of Robotics Research (IJRR), 2026.

Presentations

  1. Yifei Cao. Safe and Socially-aware Robot Navigation. Invited Speaker, Hi! PARIS 1st Workshop on 3D Perception and Navigation, Paris, France, September 2026.

  2. Zhi Yan. From Perception to Navigation: The Sandbox of Long-Term Human Motion Prediction. Keynote Speaker, ICRA Workshop on Long-term Human Motion Prediction (LHMP), Vienna, Austria, June 2026.

Theses

  1. Johnata Brayan. NavWareSet: A dataset of socially compliant and non-compliant robot navigation. Master’s thesis, Universidade Federal de Minas Gerais (UFMG), August 2025.

Datasets

  1. NavWareSet: A Dataset of Socially Compliant and Non-Compliant Robot Navigation

Courses

  1. Mobile Robotics

Deliverables

Number Title Type Dissemination Due month Submitted
D7.1 NavWare project website online and social media appearance initialised DEC Public M01 ✅
D7.2 Initial data management plan Report Confidential M06 ✅
D7.3 NavWare flyer DEC Public M19 ✅
D7.4 GitHub repositories initialised DEC Other M24 ✅

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This project has received funding from the French National Research Agency (ANR) under grant agreement No ANR-23-CE10-0016.