Target markets: Robotics researchers, developers and inspection teams seeking an accessible quadruped platform.
Deployment model: Commercial product sold as a development and light-operations platform.
Multi-terrain locomotion - Demonstrated - 2026-10-06 - The controller used body tilt and ground-reaction information to maintain posture across uneven surfaces. - source: prtimes.jp
Navigation and obstacle avoidance - Demonstrated - 2026-09-08 - Navigate suspended construction scaffolding with Akari learned locomotion and LiDAR obstacle detection. - environment: Suspended construction scaffolding - Hardware: Unitree Go2; LiDAR - Software: Akari learned locomotion controller - Control: autonomous - Conditions: Uneven scaffold surfaces; Hanging chains and site equipment; Sheets and cables - source: prtimes.jp
Outdoor mobility assistance - Research demonstration - 2026-07-21 - Guided a handler through real indoor and outdoor obstacle courses while avoiding obstacles and pedestrians. - environment: real indoor and outdoor guide-dog obstacle courses - Hardware: Milo modification; onboard compute; additional sensors; guide handle; open-source perception and navigation stack - Control: autonomous - Conditions: pedestrians; indoor routes; outdoor routes - source: arxiv.org
Multi-terrain locomotion - Research demonstration - 2026-06-14 - The paper reports robust zero-shot deployment on a physical Unitree Go2 during rough-terrain traversal. - source: arxiv.org
Navigation and obstacle avoidance - Research demonstration - 2026-06-09 - AgniNav standardizes cross-embodiment monocular local navigation through a configurable collision-envelope representation. - source: arxiv.org
Stair climbing - Research demonstration - 2026-02-16 - The paper studies a two-stage reinforcement-learning approach for improving quadruped performance on U-shaped stair climbing. - source: arxiv.org
Stair climbing - Research demonstration - Climbed hollow stairs with inclines up to 55 degrees. - environment: stairs up to a 55-degree incline - Control: unspecified - source: arxiv.org
Human following - Claimed - Unitree presents Go2 with intelligent obstacle detection and avoidance plus a side-following mode. - Control: unspecified - source: unitree.com
Whole-body loco-manipulation - Research demonstration - 2026-03-02 - Safe whole-body loco-manipulation paper validates model-learning control on Unitree Go2 - source: arxiv.org
Whole-body loco-manipulation - Research demonstration - 2025-07-27 - The paper proposes a risk-adaptive reinforcement-learning framework that enables a quadruped to walk on its hind legs for loco-manipulation. - source: arxiv.org
Whole-body loco-manipulation - Claimed - 2026-07-07 - Grasp objects at ground level and manipulate with both hands while all four feet remain planted. - environment: simulated bimanual quadruped manipulation tasks - Hardware: custom calf-integrated manipulators and grippers - Control: unspecified - source: arxiv.org
Vision-language navigation - Research demonstration - 2026-03-06 - Followed natural-language navigation instructions on the physical quadruped in real-world environments. - environment: real-world instruction-following navigation courses - Hardware: history-conditioned spatio-temporal visual-token pruning - Control: autonomous - source: arxiv.org
Load carrying - Research demonstration - 2025-07-27 - Real-world deployment on a Unitree Go2 robot demonstrates cart pushing, obstacle probing, payload transport, and robustness to disturbances. - source: arxiv.org