Agility Robotics
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TRANS: Terrain-aware Reinforcement Learning for Agile Navigation of Quadruped Robots under Social Interactions
arXiv:2602.12724v3 Announce Type: replace Abstract: This study introduces TRANS: Terrain-aware Reinforcement learning for Agile Navigation under Social interactions, a deep reinforcement learning (DRL) framework for quadrupedal social navigation over unstructured terrains. Conventional quadrupedal navigation typically separates motion planning from locomotion control, neglecting whole-body constraints and terrain awareness. On the other hand, end-to-end methods are more integrated but...
VAIC: Vision-Guided Humanoid Agile Object Interaction Control via Decoupled Commands
arXiv:2606.09286v1 Announce Type: new Abstract: Humanoid robots hold immense potential for real-world assistance, yet agile interaction with objects in unstructured environments demands tightly coupled whole-body coordination. Despite recent advancements, current controllers face a critical deployment gap. They rely heavily on dense reference trajectories and perfect state observability, which inherently limits physical generalization.
The skeptic’s guide to humanoid robots going viral on the Internet
It may appear that humanoid robots capable of handling any task have almost arrived—especially when tech companies showcase them performing acrobatic feats or handling household chores. But there is still a significant gap between these robot demonstrations and proving that the same robots can reliably and repeatedly manage such tasks in the real world. The latest wave of robot videos can be particularly tricky, given the human tendency to anthropomorphize objects with a humanoid figure.
Humanoid robots work nonstop in package test
Figure AI says three of its humanoid robots crossed more than 24 hours of continuous autonomous operation after a test that was supposed to last only eight hours kept running.The California-based robotics startup says its Helix-02 artificial intelligence-powered robots sorted small packages around the clock without human control. The robots became part of a livestream that viewers followed closely. They even picked up names along the way: Bob, Frank and Gary.Once people started calling them...
Humaniod robotics company raises up to $1.4 billion from Nvidia, Amazon and others
U.S. tech giants have backed a German company in its latest fundraising round to develop its humanoid robotics tech. Neura Robotics' Series C financing, which is worth up to $1.4 billion, featured Tether, Qualcomm, Amazon and Nvidia, alongside European industrial companies Bosch and Schaeffler and the European Investment Bank. The company hit a valuation of around $7 billion, according to a source familiar with the matter, who asked to remain anonymous as they weren't authorized to discuss...
Meet Argus: The sea-urchin robot with 20 eyes and legs
Most robots are built to look like something. Engineers designing machines to navigate the real world have, for decades, reached for the same reference points: the human skeleton, the dog's four-legged trot, the insect's crawl. These biological templates have produced impressive machines, but they carry an embedded assumption that a robot needs a front, a back, and a preferred direction of travel.
Robots are about to overtake armed soldiers as the deciders of war
There’s a received piece of wisdom among militaries around the world that whatever new technologies appear, in the end, foot soldiers are what matters. As British Army officer Field Marshal Archibald Wavell put it shortly after the second world war: “All battles and all wars are won in the end by the infantryman.” This may now finally be changing.
Cooperative Long Rope Skipping via Multi-Agent Reinforcement Learning
Announce Type: new Abstract: Humans exhibit remarkable motor agility, enabling a wide range of dynamic skills such as running and jumping, which highlights the great potential of humanoid robots for athletic locomotion. Among athletic sports, long rope skipping requires two rope turners to cooperatively swing the rope while adapting to a player under different jumping rhythms, making it a meaningful yet challenging task for humanoid robots. Although existing methods for humanoid sports have...
Neurosim: A Fast Simulator for Neuromorphic Robot Perception
arXiv:2602.15018v2 Announce Type: replace Abstract: Neurosim is a fast, real-time, high-performance library for simulating sensors such as dynamic vision sensors, RGB cameras, depth sensors, and inertial sensors. It can also simulate agile dynamics of multi-rotor vehicles in complex and dynamic environments. Neurosim can achieve frame rates as high as ~2700 FPS on a desktop GPU.