China’s Robot Dog Gets One-Touch Navigation for Rescue Missions
China’s leading quadrupedal robotics developer has introduced a one-touch navigation feature for its robotic dog, enhancing its ability to operate in complex environments.
The upgrade improves user interaction and boosts autonomous movement, making the robot more effective in real-world scenarios. The company, based in Hangzhou, Zhejiang province, previously gained attention with its Lynx model, which can traverse ice, deep snow, and perform agile movements.
A recent video showcased the new feature, which enables real-time perception in unfamiliar environments. This allows the robot to navigate without prior mapping, improving its adaptability in dynamic or unstructured surroundings.
Two Navigation Modes for Different Environments
The new feature includes two distinct navigation modes. The first is a map-based point selection mode, designed for open terrains where broader spatial awareness is needed. The second is a video-based point navigation mode, which allows precise movement in confined or cluttered spaces.
Operators can select a location within the video feed, directing the robotic dog to the desired destination. The company states that the robot autonomously plans its path and avoids obstacles, improving traversal efficiency.
Enhancing Rescue and Emergency Operations
The company expects the upgrade to enhance the robot’s performance in high-risk scenarios such as fire reconnaissance and emergency rescue missions. The ability to navigate unstable terrain and extreme conditions makes quadruped robots valuable in post-disaster search and rescue efforts.
Deep Robotics senior sales manager Hank Cheng highlighted the company’s global competitiveness in smart maintenance and automation. He emphasised that localisation is key to international success, expressing confidence that their products will set benchmarks worldwide.
China’s leading robotics firm introduced a one-touch navigation feature for its robotic dog
The upgrade improves autonomous movement and adaptability in complex environments
Two navigation modes allow for efficient movement in both open and confined spaces
Source: INTERESTING ENGINEERING