QIAN ZHANG (张 谦)

Autonomous Mobility

I develop perception, localization, decision-making, and motion methods that help mobile robots navigate safely and robustly in complex real-world environments. My work combines modular navigation systems with learning-driven approaches to improve adaptability, efficiency, and reliability.

Key Areas: Spatial Perception & Localization · Autonomous Decision-Making & Navigation · Learning-Driven Motion

Spatial Cognition & Memory

I study how robots understand scenes, objects, places, and spatial relationships, and how they build long-term memory to maintain knowledge of changing environments. This work focuses on organizing spatial information over time so robots can reason about where things are, what has changed, and how to respond.

Key Areas: Spatial Understanding · Spatial Reasoning · Long-Term Spatial Memory

Human-Robot-Environment Interaction

I explore how robots understand human intentions, use environmental information, and plan actions autonomously to complete service and task-execution scenarios. My research aims to make robots interact more naturally with people and operate more effectively in everyday environments.

Key Areas: Human-Robot Interaction · Robot-Environment Interaction · Autonomous Task Execution