Max Robotics — Global Service Robot Directory + US Certification

About

Kris Kitani is a leading researcher at the intersection of computer vision, robotics, and human-centered AI, with work spanning autonomous navigation, multi-object tracking, and assistive technology. His most influential contribution — a baseline framework for 3D multi-object tracking (MOT) — has garnered over 480 citations and established foundational evaluation metrics now widely adopted in autonomous driving and robotics research. By prioritizing computational efficiency alongside accuracy, Kitani helped shift the field toward practically deployable tracking systems. Beyond tracking, Kitani has made significant strides in assistive robotics, notably through CaBot, an autonomous navigation robot designed to guide blind users through unfamiliar environments, cited over 160 times. His interdisciplinary reach extends to human motion forecasting, where he applied game theory and deep learning to model pedestrian interactions, and to humanoid teleoperation, with his H2O framework enabling real-time whole-body control using only an RGB camera. His HARMONIC dataset further advances shared autonomy in assistive eating scenarios. Early work in egocentric (first-person) vision and nonverbal gesture recognition rounds out a research portfolio defined by a consistent commitment to making intelligent systems more perceptive, practical, and genuinely useful to people in everyday life.