Adaptive Grippers Target High-Mix Manufacturing
By Maxine Shaw

A gripper that reconfigures on the fly could finally tame high-mix manufacturing.
Techman Robot Korea and Tesollo are stepping into the high-stakes arena of high-mix, low-volume production with an adaptive, articulated, multi-jointed gripper solution. The pair will showcase the system at the 2026 Smart Factory & Automation Industry Exhibition, known in the industry as Automation World. The joint release positions the tool as a practical answer to the churn of frequent changeovers and diverse part geometries that define modern job shops and mixed-portfolio lines.
In one sense, the collaboration is a textbook response to a real-world bottleneck: traditional pick-and-place tooling often becomes the single largest drag on line flexibility. High-mix environments demand end-effectors that can accommodate varied shapes, sizes, and gripping surfaces without swapping out hardware or reprogramming the entire cell. The new gripper design—articulated and capable of adjusting its grasp strategy dynamically—promises to reduce manual intervention and retooling time, allowing more rapid transitions from one part family to the next. The emphasis on a “high-mix, low-volume” sweet spot aligns with many contract manufacturers and consumer electronics, automotive, and medical device suppliers that routinely juggle dozens, sometimes hundreds, of SKUs on the same line.
From the fault line to the floor: the practical hurdles remain substantial. Integration teams will need to verify that the gripper’s range of motion and grip profiles align with existing end-effectors, sensors, and the control software of a given robot cell. For companies prosecuting a phased automation strategy, the question isn’t whether a more capable gripper exists—it’s whether the added mechanical complexity can be justified by faster changeovers, better part grip reliability, and simpler programming. The proposed solution’s strength lies in its potential to adapt to multiple parts without a hardware swap, but that comes with tradeoffs: the more joints and sensors a gripper has, the more there is to calibrate, maintain, and troubleshoot on the factory floor.
Two concrete practitioner themes will likely emerge as deployments begin in earnest. First, the integration footprint matters. Floor space must accommodate the gripper’s articulated envelope, any integrated vision sensing, and the associated safety clearances. Power and data connectivity must be robust enough to feed real-time grip decisions to the robot controller and the facility’s MES or ERP stack. Second, human-robot collaboration remains a critical constraint. Operators and maintenance technicians need hands-on training to adjust gripping strategies, diagnose misgrips, and swap end-effectors when truly needed. The promise of fewer tool changes is compelling, but the operational reality depends on how quickly teams can validate gripping profiles for new parts and when to revert to a more conventional grip strategy for edge cases.
What to watch next: operators should monitor not only cycle time gains but also changeover consistency across a family of parts, the reliability of grip under varying part textures, and the downstream impact on downstream packing and sorting. Vendors commonly trumpet fast deployment, yet the real ROI often hinges on how well the gripper’s adaptive logic is tuned to the plant’s actual mix and the predictability of part geometry. Until more deployment data surfaces at Automation World, cautious optimism remains the prudent stance.
Industry observers will be listening for specifics on throughput gains, cycle-time reductions by SKU, and the payback horizon—data that typically follows the first wave of live installations. In the meantime, the Techman Tesollo collaboration adds to a growing roster of adaptive end-effectors that aim to turn high-mix volatility from a perennial headache into a manageable, data-driven advantage.
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