Xiaomi’s robotics group has not too long ago achieved a significant breakthrough in embodied intelligence and unveiled its newest analysis outcome, TacRefineNet, on February 5.
TacRefineNet is a general-purpose framework that depends solely on tactile sensing—with out imaginative and prescient or object 3D fashions—to carry out millimeter-level pose refinement throughout greedy. Its core options embrace:
- No imaginative and prescient required: Constructed on excessive–spatial-resolution tactile sensors, the system is unaffected by lighting circumstances or visible occlusion, enabling dependable notion underneath complicated contact eventualities.
- Millimeter-level refinement: By fusing multi-finger tactile suggestions with proprioceptive data, the mannequin drives exact pose convergence, decreasing greedy errors to the millimeter scale.
- No 3D object fashions: The framework eliminates reliance on prior geometric fashions, reframing complicated grasp changes as a tactile-space alignment downside.
- One mannequin, a number of duties: A single mannequin can deal with high-quality grasp changes for numerous elements in automotive manufacturing, performing robustly in each simulation and real-world environments.
- Generalization to unknown objects: With out extra coaching, the mannequin maintains robust robustness when dealing with beforehand unseen however geometrically comparable objects, even underneath dynamic disturbances.
- Aim-driven management: The system helps arbitrary goal grasp poses with out task-specific retraining, enabling true plug-and-play high-quality manipulation.

This innovation addresses the long-standing “final mile” problem in real-world robotic manipulation and opens new prospects for industrial automation.
As robotics expertise advances quickly, tactile notion is more and more acknowledged as a vital bridge between clever brokers and the bodily world. People can simply carry out delicate duties—similar to peeling an egg—due to a extremely developed sense of contact. Endowing robots with comparable tactile capabilities has turn out to be a key course for overcoming present technical bottlenecks.

The defining function of TacRefineNet is its capability to realize millimeter-level grasp refinement utilizing tactile enter alone, totally with out visible help or object 3D fashions.
Leveraging high-resolution tactile sensors and multi-finger sensory fusion, the system persistently constrains greedy errors to the millimeter vary. In each simulated and real-world exams, TacRefineNet demonstrated robust and steady efficiency.
Notably, a single skilled mannequin can deal with fine-grained greedy duties throughout a number of elements in automotive manufacturing facility settings, with out requiring retraining for particular duties—delivering true out-of-the-box usability.
Intensive validation by way of simulation and real-robot experiments confirmed that the mannequin can quickly refine numerous preliminary grasp poses towards goal states, reaching common positional errors on the millimeter stage.
Even when object positions and orientations change incessantly, the system can carry out exact real-time changes through steady tactile suggestions. Extra impressively, TacRefineNet displays robust generalization capabilities, efficiently manipulating unfamiliar objects with comparable geometric options.
This breakthrough is enabled by the deep integration of knowledge, algorithms, and {hardware}. On the information aspect, the group constructed a high-fidelity tactile simulator utilizing the MuJoCo physics engine to precisely mannequin contact power responses. Algorithmically, TacRefineNet adopts an end-to-end multimodal studying structure that integrates multi-finger tactile sensing, proprioception, and spatial motion data. On the {hardware} entrance, high-resolution tactile sensors had been embedded into dexterous robotic fingertips, that includes a contact-point spacing of simply 1.1 millimeters, permitting the system to seize delicate floor deformations.
Xiaomi’s robotics group has publicly launched technical particulars and experimental movies, with extra analysis outcomes to be introduced sooner or later.

Supply: IT House
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