From World Robot Conference 2026 in Beijing: @BrainCo_Tech demonstrated bimanual robot teleoperation using @ManusMeta gloves, mapping the operator’s hand movements to the robot in real time for coordinated dexterous manipulation. #WRC2026# #robotics# #teleoperation# #DexterousManipulation# #PhysicalAI# #humanoids#

From World Robot Conference 2026 in Beijing: Xynova demonstrated dexterous hand teleoperation using @ManusMeta gloves, translating the operator’s hand movements into real-time robotic control with high-fidelity hand motion data. #WRC2026# #robotics# #teleoperation# #DexterousManipulation# #PhysicalAI#

Excited to see WUJI as part of the @NVIDIA Isaac Teleop ecosystem. Wuji Glove captures human hand motion. Wuji Hand brings it into dexterous robot execution. Looking forward to exploring what comes next with NVIDIA and the broader Physical AI ecosystem. #WujiTech# #NVIDIA# #WujiHand# #WujiHand2# #DexterousHand# #Robotics# #PhysicalAI# #DexterousManipulation#

Wuji Tech × Alibaba DAMO Academy RynnBrain 1.1 is tested with Wuji Hand on real-robot dexterous manipulation tasks. The demo spans grasping spatulas, flipping steak, plating, serving dishes, and pouring wine. A good testbed for connecting embodied perception, contact reasoning, and reliable execution in continuous manipulation. #WujiTech# #WujiHand# #RynnBrain# #EmbodiedAI# #Robotics# #DexterousManipulation#

During ICRA 2026, we hosted a salon bringing together researchers, founders, and industry partners. Our founder, Yunzhe Pan, shared the story behind Wuji Tech. The conversation moved beyond just our product, extending to data, training systems, Sim-to-Real, and commercialization in embodied AI. While the questions varied, they all focus on one truth: what it takes to make embodied intelligence work in the real world. Thank you to everyone who joined and shared their perspectives. #ICRA2026# #Robotics# #EmbodiedAI# #WujiTech# #WujiHand# #DexterousaHand# #DexterousManipulation#

Wuji Hand 2 Makes Its Global Debut at ICRA 2026 Next-generation dexterous hand with 20 DOF, backdrivable actuation, and improved thermal design for sustained operation. Built for real-world dexterous manipulation. #WujiTech# #WujiHand# #ICRA2026# #DexterousHand# #Robotics# #EmbodiedAI#

Li Auto’s Foundation Model team has released MachEmbodied-Dex-1.0, a unified World Action Tactile Model that jointly learns future video, tactile states and robot actions. ME-Dex-1.0 elevates tactile sensing from an auxiliary condition to a future world state that the model must predict. It uses a unified tactile representation to align heterogeneous sensors, while a three-expert architecture connects predicted visual changes and contact dynamics to action generation. An Agentic Tactile Data Engine expands paired visual-tactile-action data through simulation. Results: • RoboTwin: 78.9% Clean-only success rate, +7.6 points vs. the strongest baseline • DexJoCo: #1# on 7 of 11 dexterous manipulation tasks • ManiFeel: plug-insertion success rate jumped from 58% → 88%

Reward AI is based in the SF Bay Area. The founders are two of Stanford's standout robot-learning researchers: Zipeng Fu (Cofounder, CEO), advised by Chelsea Finn, ex-Google DeepMind. Lead author on Mobile ALOHA (the viral $32k robot that cooks and cleans) and HumanPlus (humanoids learning by shadowing humans). Chen Wang (Cofounder, CTO), advised by Fei-Fei Li and Karen Liu. Lead author on DexCap, the portable dexterous-manipulation capture system OM-1's wearable hand is built on.

Build a humanoid robot yourself! 🪚 OpenArm is an open-source humanoid robot.  It comes with full CAD, control code, firmware, and simulation tools, everything needed to build, modify, and operate it. The arms are designed to be compliant and backdrivable. Teleoperation is supported, with force feedback and real-time gravity compensation so operators can guide the arm naturally. Super important, on the simulation side, OpenArm works with platforms like MuJoCo and Isaac Sim, letting developers test policies in virtual environments before running on hardware.  Assemble it yourself from a kit or get it prebuilt, the goal is accessibility for research labs, small teams, and enthusiasts. The project is run by @enactic_ai in Tokyo, Japan, and aims to lower the barrier for experimenting with dexterous manipulation. Let's put robotics in mainstream! 🔥🔥 🔗 Find the link here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Something new is coming to MANUS at IROS 2026. At #IROS2026#, we’ll be introducing new capabilities designed to make it easier for robotics teams to build, integrate and deploy MANUS across a wider range of workflows and hardware platforms. If you’re working on teleoperation, dexterous manipulation or robot learning, come by the MANUS booth 408 and talk to our team about what’s coming next, and how MANUS can fit into your robotics stack. Come see what’s next at IROS 2026. @ieeeiros 📅September 27 - October 1, 2026 📍Pittsburg, PA, USA