Home  | News

31.03.2025

Teaser image to Robot Jack Navigates Like a Human – A Project Led by Angela Schoellig

Robot Jack Navigates Like a Human – A Project Led by Angela Schoellig

TUM News

A research team at TUM, led by our PI Angela Schoellig, has developed the mobile robot Jack, which moves safely and efficiently through crowds.

This is made possible by an innovative motion planning algorithm inspired by human behavior. Jack continuously scans its surroundings using a lidar system and updates its trajectory ten times per second, enabling smooth, collision-free movement—even in dynamic environments.

The technology offers promising applications in service robotics and autonomous vehicles, where natural and safe interaction with people is essential.

#research #schoellig
Subscribe to RSS News feed

Related

Link to Zigzag Your Way to Faster, Smarter AI Image Generation

20.11.2025

Zigzag Your Way to Faster, Smarter AI Image Generation

ZigMa, introduced by Björn Ommer’s group at ECCV 24, improves high-res AI image and video generation with fast, memory-efficient zigzag scanning.

Link to Anne-Laure Boulesteix Among the World’s Most Cited Researchers

13.11.2025

Anne-Laure Boulesteix Among the World’s Most Cited Researchers

MCML PI Anne‑Laure Boulesteix named Highly Cited Researcher 2025 for cross-field work, among 17 LMU scholars recognized globally.

Link to Björn Ommer Featured in Frankfurter Rundschau

13.11.2025

Björn Ommer Featured in Frankfurter Rundschau

Björn Ommer highlights how Google’s new AI search mode impacts publishers, content visibility, and the diversity of online information.

Link to Fabian Theis Among the World’s Most Cited Researchers

13.11.2025

Fabian Theis Among the World’s Most Cited Researchers

Fabian Theis is named a Highly Cited Researcher 2025 for his work in mathematical modeling of biological systems.

Link to Explaining AI Decisions: Shapley Values Enable Smart Exosuits

13.11.2025

Explaining AI Decisions: Shapley Values Enable Smart Exosuits

AI meets wearable robotics: MCML and Harvard researchers make exosuits smarter and safer with explainable optimization, presented at ECML-PKDD 2025.

Back to Top