TARS Robotics 在 ICRA 2026(维也纳)展出 21-DoF DexHand,触觉传感器可检测 0.05mm 纹理,精确复制人体骨骼关节结构,能重现 26 种标准手语手势并实现实时镜像控制交互。配合 AWE 3.0 模型实现“手脑整合”。现场演示 A1 机器人自主打包背包及亚毫米线束装配(实时纠错)。新发布 TacForeSight 技术可预测接触事件发生前的状态,适用于高频接触操作任务。
TARS' DexHand Highlights a New Era of Hand-Brain Integration
At ICRA 2026 in Vienna, TARS Robotics is showing their 21-DoF DexHand with tactile sensors detecting textures down to 0.05mm, built as a true 1:1 copy of human bone and joint structure, precise enough that it reproduces 26 standard sign-language gestures and real-time mirror-control interaction with attendees, paired with their AWE 3.0 model trained on Human-centric data for full "hand-brain integration." Live demo: their A1 robot autonomously packs a backpack and performs sub-millimeter wire harness assembly with real-time error correction.
The underlying research, TacForeSight - a newly released technology developed by TARS in collaboration with global universities and institutions, allows the robot to predict contact events before they fully occur, which is critical for high-frequency, contact-rich manipulation tasks.