18 related articles

Deep dive into Google DeepMind's Gemini Robotics 2: its whole-body intelligence, dexterous manipulation, adaptive reasoning, and how multi-robot collaboration is advancing embodied AI from lab to reality.

Deep dive into Google DeepMind's Gemini Robotics 2: its three core capabilities of whole-body intelligence, dexterous manipulation, and adaptive reasoning, plus how multi-robot collaboration is pushing embodied AI from labs into the physical world.

Deep analysis of how Google DeepMind's Gemini Robotics 2 empowers Apptronik's Apollo 2 humanoid robot with whole-body intelligence, exploring VLA model breakthroughs and the commercialization outlook for general-purpose robots.

Google DeepMind releases Gemini Robotics 2, achieving humanoid full-body control, multi-step error recovery, multi-robot coordination, and on-device deployment with built-in safety mechanisms.

Google DeepMind releases Gemini Robotics 2, a robot foundation model enabling humanoid full-body control, multi-step error recovery, multi-robot coordination, and on-device deployment.

Satyress's Threehalves centaur teleoperated robot sparks debate. This 7-foot quadruped robot targets hazardous work but draws comparisons to amusement rides. Deep analysis of its design logic and positioning.

Deep dive into Google's Gemini Robotics 2 and its three core capabilities: full body intelligence, advanced dexterity, and multi-robot teamwork—achieving universal robot AI with one brain for any robot.

Deep dive into Google's Gemini Robotics 2 and its three core capabilities: full body intelligence, advanced dexterity, and multi-robot teamwork—achieving universal robot AI with one brain for any robot.

Inside DeepMind's robotics lab: how VLA models give robots generalization and 'think-before-act' reasoning — from packing lunches to sorting trash, the path to general-purpose robots.

At the Microsoft Research India summit, top experts explore the real progress of multimodal AI and embodied intelligence: fusing classical robotics with large models, healthcare AI deployment challenges, perceptual bottlenecks in reasoning, and possibilities beyond scaling.
Is LLM the Wrong Foundation for Robot …
Robotics researcher Ranjay Krishna challenges LLMs as the foundation for robot intelligence. Is language an unnecessary layer between perception and action? A deep dive into VLA models vs. end-to-end architectures.

VersatIL is a modular PyTorch framework for robot imitation learning that decouples data, network architecture, algorithm, and objective. Supports ACT, Diffusion Policy, pi0, and LeRobot format.

1X releases a new robotic hand for the NEO humanoid robot—25 DOF, force transparency, and tactile skin enabling data self-labeling. OpenAI launches the three-tier GPT-5.6, boosting coding and cost-efficiency. Hardware and AI brains evolve together, accelerating humanoid robot commercialization.

Robot demos often use bare-metal to show off degrees of freedom, but do casings hurt performance? A deep dive into how casings affect range of motion and inertia.

1X unveils a new robotic hand for its NEO humanoid: 25 DoF, tendon-driven quasi-direct-drive architecture, full-joint force control, tactile skin, IP68 waterproofing, and compliant safety design, with capacity for 10,000 units a year.

Using an FPV drone RL project as a case study, this guide covers reward shaping principles, Bang-Bang control hacking, module isolation, single-variable debugging, and behavior visualization to solve common RL training issues.

Google launches its European Robotics Accelerator with 15 startups selected. The program offers Gemini Robotics models, AI stack access, and team support to advance Physical AI.
Tech FrontiersIn-depth analysis of NVIDIA NemoClaw's expansion roadmap, covering OpenClaw open-source collaboration, sim-to-real transfer, dexterous manipulation breakthroughs, and commercialization paths in embodied AI.