Max Robotics — Global Service Robot Directory + US Certification

About

Jingsong Liang is an emerging researcher specializing in autonomous robotics, with a particular focus on multi-robot exploration, motion planning, and learning-based navigation in unknown environments. Their work addresses some of the most pressing challenges in deploying robotic systems in real-world, large-scale settings where communication and environmental uncertainty pose significant obstacles. Among their most notable contributions is the IR² framework, which tackles the critical problem of information sharing among robotic teams operating under sparse and intermittent connectivity — a constraint frequently overlooked in prior literature. This work has garnered 9 citations, reflecting strong early interest from the robotics community. Liang has also developed HDPlanner, a deep reinforcement learning framework that unifies autonomous exploration and navigation through hierarchical decision-making, and DARE, an innovative application of diffusion policy models to robot exploration, pushing the boundaries of learning-based planning beyond conventional belief-state optimization. Collectively, Liang's research demonstrates a sophisticated integration of classical robotics principles with modern machine learning techniques. With multiple impactful publications in 2024 and 2025, they represent a rising voice in autonomous systems research, contributing foundational tools that advance the deployment of intelligent robots in complex, unstructured environments.