{"id":88046,"date":"2026-06-24T04:00:00","date_gmt":"2026-06-24T11:00:00","guid":{"rendered":"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/?p=88046"},"modified":"2026-06-16T11:34:49","modified_gmt":"2026-06-16T18:34:49","slug":"proception-physical-ai","status":"publish","type":"post","link":"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/proception-physical-ai\/","title":{"rendered":"Proception Advances Physical AI with Dex\u00adterous Robotic Hand Designed Using Autodesk Fusion\u00a0"},"content":{"rendered":"\n<p><em>Proception is advancing physical AI with ProHand 1.0, a research-grade robotic hand designed for dexterous, adaptive manipulation in real-world environments. With Autodesk Fusion, Proception\u2019s eight-person engineering team accelerates development through rapid prototyping and cloud collaboration. Using the Fusion API, they can now easily convert CAD models into URDF (Unified Robot Description Format), reducing a process that once took hours to under a minute.<\/em><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"574\" src=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2026\/06\/Proception--1024x574.jpg\" alt=\"\" class=\"wp-image-88051\" srcset=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2026\/06\/Proception--1024x574.jpg 1024w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2026\/06\/Proception--300x168.jpg 300w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2026\/06\/Proception--768x431.jpg 768w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2026\/06\/Proception--1536x861.jpg 1536w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2026\/06\/Proception-.jpg 1675w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Physical AI is increasingly being discussed as a major frontier: systems that understand physics and&nbsp;operate&nbsp;in the real world beyond the screen, from humanoid robots to autonomous vehicles.&nbsp;<\/p>\n\n\n\n<p>YC-backed startup&nbsp;<a href=\"https:\/\/www.proception.ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Proception<\/a>&nbsp;is focused on one of the most technically challenging components of physical AI: the robotic hand.&nbsp;<\/p>\n\n\n\n<p>Proception\u2019s flagship system,&nbsp;ProHand&nbsp;1.0, is a research-grade robotic hand designed for dexterous manipulation through integrated sensing and learning. The system integrates tactile sensing and joint position awareness to enable compliant, adaptive grasping. It uses a tendon-driven architecture with more than 20 degrees of freedom, combined with distributed \u201cskin\u201d sensors that capture real-time contact and pressure data.&nbsp;<\/p>\n\n\n\n<?php\nfunction autodesk_fusion_cta_horizontal() {\n    ob_start();\n    ?>\n    <style>\n        .cta-section-horizontal {\n            background: #ddd; \/* Much lighter grey background *\/\n            padding: 12px; \/* Adjusted padding *\/\n            border-radius: 8px;\n            box-shadow: 0 3px 5px rgba(0, 0, 0, 0.2);\n            color: #333; \/* Darker text color for better readability *\/\n            display: flex;\n            align-items: center;\n            justify-content: space-between;\n            max-width: 650px; \/* Width adjusted for a more compact look *\/\n            margin: 20px auto;\n            position: relative;\n            flex-wrap: nowrap; \/* Prevent wrapping *\/\n        }\n\n        .cta-section-horizontal img {\n            width: 60px; \/* Slightly larger logo *\/\n            height: auto; \/* Maintain aspect ratio *\/\n            margin-right: 12px; \/* Adjusted spacing *\/\n            background-color: #ddd; \/* Match the background color *\/\n            padding: 6px; \/* Adjusted padding *\/\n            border-radius: 8px; \/* Slightly rounding to match container *\/\n            box-shadow: 0 0 0 4px #ddd; \/* Blend with background *\/\n        }\n\n        .cta-text {\n            flex: 1;\n            margin-right: 12px; \/* Adjusted spacing *\/\n        }\n\n        .cta-title {\n            font-size: 18px; \/* Slightly larger title font size *\/\n            font-weight: bold; \/* Bold title *\/\n            color: #f9a825; \/* Orange color *\/\n            margin-bottom: 4px; \/* Reduced margin *\/\n        }\n\n        .cta-info {\n            display: none; \/* Hide description *\/\n        }\n\n        .cta-buttons {\n            display: flex;\n            gap: 8px; \/* Adjusted button spacing *\/\n            align-items: center;\n        }\n\n        .cta-button {\n            padding: 8px 12px; \/* Button padding *\/\n            font-size: 12px; \/* Smaller font size for buttons *\/\n            font-weight: bold;\n            text-transform: uppercase;\n            border-radius: 4px; \/* Slightly rounded corners *\/\n            border: 2px solid transparent;\n            cursor: pointer;\n            transition: all 0.3s ease;\n            display: inline-flex; \/* Use inline-flex to ensure proper alignment *\/\n            align-items: center; \/* Center align text vertically *\/\n            justify-content: center; \/* Center align text horizontally *\/\n            text-decoration: none !important; \/* Ensure no underlines with !important *\/\n            color: inherit; \/* Use the button's text color *\/\n        }\n\n        .cta-button.white-button {\n            background-color: #fff;\n            color: #333;\n            border: 2px solid #ddd;\n        }\n\n        .cta-button.white-button:hover {\n            background-color: #333;\n            color: #fff;\n            border: 2px solid #f9a825;\n        }\n\n        .cta-button.black-button {\n            background-color: #f9a825;\n            color: #fff;\n            border: 2px solid #f9a825;\n        }\n\n        .cta-button.black-button:hover {\n            background-color: #fff;\n            color: #f9a825;\n            border: 2px solid #fff;\n        }\n    <\/style>\n\n    <div class=\"cta-section-horizontal\">\n        <img decoding=\"async\" src=\"https:\/\/autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2024\/09\/autodesk-fusion-product-icon-400.png\" alt=\"Autodesk Fusion Logo\">\n        <div class=\"cta-text\">\n            <h1 class=\"cta-title\">Elevate your design and manufacturing processes with Autodesk Fusion<\/h1>\n        <\/div>\n        <div class=\"cta-buttons\">\n            <a href=\"https:\/\/www.autodesk.com\/products\/fusion-360\/free-trial?mktvar004=4333583042&#038;internalc=true\" class=\"cta-button white-button\">Get a 30-Day Free Trial<\/a>\n            <a href=\"https:\/\/www.autodesk.com\/campaigns\/fusion-360\/pricing.mobile?term=1-YEAR&#038;tab=subscription&#038;plc=FSN&#038;mktvar004=4333583043&#038;internalc=true\" class=\"cta-button black-button\">See Plans and Pricing<\/a>\n        <\/div>\n    <\/div>\n\n    <?php\n    return ob_get_clean();\n}\nadd_shortcode('autodesk_fusion_cta_horizontal', 'autodesk_fusion_cta_horizontal');\n?>\n\n\n\n\n<p>Proception\u2019s long-term goal is to achieve\u00a0human-level dexterity\u00a0in robotic hands, enabling general-purpose manipulation in real-world environments. In the near term, the team is focused on achieving reliable in-hand manipulation, including tasks such as object reorientation, grip adjustment, and fine contact interaction. These capabilities\u00a0represent\u00a0a foundational step toward more advanced manipulation tasks, forming the basis for progressively more capable robotic systems.\u00a0<\/p>\n\n\n\n<p>ProHand\u00a01.0 has recently\u00a0begun shipping to select AI research teams and institutions, marking the first phase of real-world deployment. These early deployments will enable Proception to collect real-world manipulation data and refine both its hardware and learning systems. <\/p>\n\n\n\n<p>The company aims to iterate rapidly through these deployments, progressing toward a scalable platform for robotic manipulation across applications such as healthcare, manufacturing, and\u00a0logistics. For the eight-person engineering team, <a href=\"https:\/\/www.autodesk.com\/products\/fusion-360\/overview\" target=\"_blank\" rel=\"noreferrer noopener\">Autodesk Fusion<\/a> plays a key role in enabling this rapid design and iteration cycle.<\/p>\n\n\n\n<h2 id=\"laying-the-groundwork\" class=\"wp-block-heading\">Laying the groundwork<\/h2>\n\n\n\n<p>Proception began development of&nbsp;ProHand&nbsp;1.0 in 2024, with a focus on rapid iteration of complex robotic assemblies. Early on, they switched from SolidWorks to Fusion, especially for&nbsp;the robotics&nbsp;design.&nbsp;<\/p>\n\n\n\n<p>\u201cFusion handles high-degree-of-freedom robotic systems more effectively than traditional CAD tools,\u201d says Jay Li, co-founder,  Proception. \u201cThe cloud-based workflow improves collaboration, and the Python API enables tight integration with our internal tooling.\u201d\u00a0<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"498\" src=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2026\/06\/Proception-Screenshot-High-Res-1024x498.jpg\" alt=\"\" class=\"wp-image-88065\" srcset=\"https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2026\/06\/Proception-Screenshot-High-Res-1024x498.jpg 1024w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2026\/06\/Proception-Screenshot-High-Res-300x146.jpg 300w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2026\/06\/Proception-Screenshot-High-Res-768x373.jpg 768w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2026\/06\/Proception-Screenshot-High-Res-1536x746.jpg 1536w, https:\/\/www.autodesk.com\/products\/fusion-360\/blog\/wp-content\/uploads\/2026\/06\/Proception-Screenshot-High-Res.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><a href=\"https:\/\/www.autodesk.com\/products\/fusion-360\/rapid-prototyping\" target=\"_blank\" rel=\"noreferrer noopener\">Rapid prototyping<\/a> is central to Proception\u2019s workflow. Designs move quickly from CAD assemblies to physical prototypes, often via 3D printing, followed by iterative testing and refinement before transitioning to production-grade components.\u00a0<\/p>\n\n\n\n<figure class=\"wp-block-pullquote\"><blockquote><p>\u201cFusion enables efficient modeling of high-DOF systems and supports a flexible, iterative workflow. The Python API is critical for automating CAD-to-simulation pipelines.\u201d\u00a0<\/p><cite>&#8211; Jay Li, Co-founder, Proception<\/cite><\/blockquote><\/figure>\n\n\n\n<h2 id=\"reducing-hours-of-engineering-work-to-less-than-a-minute\" class=\"wp-block-heading\"><strong>Reducing hours of engineering work to less than a minute<\/strong><\/h2>\n\n\n\n<p>A key advantage of Fusion in Proception\u2019s workflow is the automation of simulation model generation.\u00a0Traditionally, converting CAD models into URDF (Unified Robot Description Format) requires hours of manual work.\u00a0Proception has automated this process using the <a href=\"https:\/\/aps.autodesk.com\/developer\/overview\/autodesk-fusion-api\" target=\"_blank\" rel=\"noreferrer noopener\">Fusion API<\/a>, reducing the workflow from hours to under a minute. What used to take an\u00a0engineer\u00a0the better part of an entire day now happens\u00a0almost instantly.\u00a0<\/p>\n\n\n\n<p>\u201cWe can directly export CAD models into URDF using automated scripts,\u201d Li explains. \u201cWhat previously took up to 10 hours of manual work now takes less than a minute. This automatically generates a simulation that can be used for robotic&nbsp;simulation.\u201c&nbsp;<\/p>\n\n\n\n<h2 id=\"looking-to-the-future\" class=\"wp-block-heading\">Looking to the future<\/h2>\n\n\n\n<p>As Proception enters its next phase, the company is focused on scaling both its hardware platform and data-driven learning systems.&nbsp;<\/p>\n\n\n\n<p>\u201cWe\u2019re building in public and sharing our technical direction,\u201d Li says. \u201cOur goal is to accelerate progress across the industry while advancing toward general-purpose robotic manipulation.\u201d&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Proception is advancing physical AI with ProHand 1.0, a research-grade robotic hand designed for dexterous, adaptive manipulation in real-world environments. With Autodesk Fusion, Proception\u2019s eight-person engineering team accelerates development through rapid prototyping and cloud collaboration. Using the Fusion API, they can now easily convert CAD models into URDF (Unified Robot Description Format), reducing a process [&hellip;]<\/p>\n","protected":false},"author":4774,"featured_media":88051,"menu_order":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[478,524,406,1],"tags":[706,907,906,902,516],"coauthors":[577],"class_list":["post-88046","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-case-studies","category-customer-spotlight","category-customer-stories","category-fusion","tag-cloud-collaboration","tag-fusion-api","tag-physical-ai","tag-rapid-prototyping","tag-robotics","dhig-theme--light"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Proception Advances Physical AI with Dex\u00adterous 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