Max Robotics — Global Service Robot Directory + US Certification

About

Tobias Schubert is a leading researcher in multi-robot systems and autonomous service robotics, with a focus on decentralized collaborative localization and sensor-based perception. His most impactful contribution is the development of fully decentralized algorithms for multi-robot localization, enabling teams of robots to estimate their positions without central coordination or sustained communication. His seminal 2018 paper on recursive decentralized localization, with 90 citations, introduced an extended Kalman filter-based approach that tracks inter-robot dependencies even under asynchronous pairwise communication—a critical challenge in real-world deployments. Schubert further advanced this work in 2016, addressing sparsely communicating robot teams, earning 44 citations. Beyond localization, he has contributed to service robotics perception, including a probabilistic method for liquid level detection in cups using RGB-D cameras (39 citations), and to motion capture accuracy through automatic bone parameter estimation for skeleton tracking (16 citations). His whole-body sensory concept for compliant mobile robots (14 citations) addresses safe human-robot interaction by enabling collision detection and contact-based navigation. Schubert’s work bridges theoretical algorithm design and practical robotic systems, with applications ranging from household assistance to industrial automation.