<p>Researchers at MIT CSAIL and Tianjin University developed X-Hinges, software for designing and 3D-printing flexible objects with sensing built into their joints. The method separates conductive materials used for sensors from the traces carrying their signals, helping reduce interference while capturing movement across as many as three axes.</p><p>The team demonstrated a glove that teaches a robotic hand how to grasp blocks, an adjustable lamp and a surface that identifies objects from tactile data. The work is experimental and is due to be presented at an academic conference. The researchers also report a calibration bottleneck: nominally identical prints can produce different readings.</p><h2>What procurement should notice</h2><p>If sensing and structure can be fabricated together, low-volume tools and human-machine interfaces could become easier to customize. But the commercial question is not whether a prototype works once. It is whether calibration, materials, printers and inspection create repeatable output across batches.</p><h2>A practical next step</h2><p>For any additive-manufacturing pilot, define the repeatability test before choosing the most impressive demonstration. Compare multiple prints, operators and material lots, and record how much recalibration is required to keep the signal within the accepted range.</p><p><strong>Source:</strong> <a href="https://news.mit.edu/index.php/2026/design-software-reimagines-everyday-objects-as-self-aware-devices-1022" target="_blank" rel="noopener noreferrer">Read the source</a></p><p>For a broader procurement framework, see the <a href="https://supplybridge.com/automotive-should-costing">automotive should-costing guide</a>.</p>