This Quadruped Dog Robot Can Carry a Large Load

This Quadruped Dog Robot Can Carry a Large Load

The Jueying X20 is a quadruped robot developed by Deep Robotics, and Mecharithm previously covered the news about it HERE. We learned that this quadruped was designed based on real-world feedback from users and the applications they required. Image credit: Deep Robotics It was previously reported that the robot could withstand a load of 75 kg (165 lbs), but new tests have shown that the robot can carry loads exceeding 85 kg (187 lbs). Image credit: Deep Robotics With powerful motion control, this robot dog can adapt itself to different terrain, climb steps, and handle slopes. Image credit: Deep Robotics…
Read More
a Bioinspired Advanced Neural Control for Autonomous Walking Robots

a Bioinspired Advanced Neural Control for Autonomous Walking Robots

Researchers from BRAIN-lab at VISTEC in Thailand developed a bioinspired advanced neural control with proactive behavior learning and short-term memory for autonomous walking robots that enables them to traverse complex terrain. Image credit: BRAIN-lab at VISTEC The proposed control consists of three main modular neural mechanisms to create insect-like gaits, adapt robot joint movement individually with respect to the terrain during the stance phase using only the torque feedback, and generate a short-term memory for proactive obstacle avoidance during the swing phase. Their proposed control: does not require robot and environmental models, exteroceptive feedback, or multiple learning trialsdepends only on…
Read More
a Navigation System for Multi-legged Robots for Different Terrain

a Navigation System for Multi-legged Robots for Different Terrain

Researchers at the Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) Robotics Innovation Center, in partnership with the Italian Institute of Technology (IIT) and Airbus Defence and Space Ltd (ADS), developed ANT, which is a novel navigation and motion control system for multi-legged robots. Image credit: Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) This navigation system is designed to enable the multi-legged robots to perceive the terrain, generate a path to the desired location, and finally control the path execution to be able to walk on different kinds of terrains. The system is tested on hexapods (robots with six legs) as wells as…
Read More