Human-Robot Handoff in Collaborative Assembly Cells
Most collaborative cells fail at the handoff, not the robot arm.
Ingrid Solheim
The Cycle Time — Page 2
Robot learning, sim-to-real and on-the-job adaptation
On-Robot Fine-Tuning After Factory Deployment
Robots need real-world fine-tuning after deployment to handle novel conditions.
Force and Torque Control for Precision Insertion Tasks
Robots feel their way through tight fits when position alone won't work.
Theo Osei-Bonsu
More From The Cycle Time
Zero-Shot Generalization Limits in Manipulation Robots
Vision-language robots fail on unseen scenes in three distinct, fixable ways.
Theo Osei-Bonsu
Gripper Selection for Mixed-Material Grasping
Five gripper types match different materials; picking one for all will fail.
Svetlana Vorobyeva
Bimanual Robot Arms in Assembly Tasks
Coordinated dual-arm systems replace costly fixturing by having one arm hold while the other works.
Svetlana Vorobyeva
Dexterous Grasping of Deformable and Flexible Parts
Soft grippers outperform better algorithms at handling fabric and deformable objects.
Svetlana Vorobyeva
Foundation Models for Robot Manipulation in Production
The gap between lab demos and factory floors shapes every decision on which model to pick.
Svetlana Vorobyeva
Automation ROI on the factory floor: how to model payback beyond labor savings
Multiply your savings by accounting for yield, throughput, quality, and energy impact.
Theo Osei-Bonsu
Sim-to-real in production: what breaks when a learned policy meets a real line
Perception failures and physics mismatches derail policies faster than anyone expects.
Ingrid Solheim
The reprogramming bill: what it actually costs to retask an industrial robot
The hidden costs of robot retasking often dwarf the initial programming invoice.
Daniel Ferreira-Lopes
Why generalist robot arms struggle with mixed SKUs and irregular parts
Generalist robot arms falter when products vary, relying on humans for the work that matters most.
Svetlana Vorobyeva