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Author: faikit

app/(default)/(event)/challenge2026temp/page.tsx

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-                        Contact-rich manipulation involves complex physical interactions where visual observations alone are often insufficient to capture critical local contact states, forces, and deformations. This challenge invites participants to develop <span className="underline">visuo-tactile manipulation policies</span> that effectively integrate visual and tactile information for decision-making and control. Submitted approaches will be evaluated on their performance across multiple manipulation tasks, with a particular emphasis on effectiveness, efficiency, and generalization. This challenge aims to systematically assess the role of tactile perception in robotic manipulation and to advance the development of robust, generalizable visuo-tactile learning methods for real-world physical interaction.
+                        Contact-rich manipulation, such as peg-in-hole, tool use, and mechanical assembly, involves fine-grained physical interactions where vision alone is insufficient to capture critical local contact states, real-time forces, and subtle deformations. The challenge aims to systematically advance <span className="underline">visuo-tactile learning</span> methods for real-world high-precision manipulation and to clarify the role of touch in practical assembly and tool-based operations. Submitted approaches will be evaluated on their performance across multiple manipulation tasks, with a particular emphasis on effectiveness, efficiency, and generalization. This challenge aims to systematically assess the role of tactile perception in robotic manipulation and to advance the development of robust, generalizable visuo-tactile learning methods for real-world physical interaction.
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