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A modular fixturing system can maintain stability across robotic disassembly stages, achieving impressive stability margins of over 80% for complex products.
Smooth, informative gradients for regrasp planning are now possible, thanks to a novel energy-based model that treats grasp feasibility as a continuous landscape.
Automating air conditioner disassembly is now feasible: a new robotic system achieves 78% success in real-world recycling plants despite dirt, rust, and unit variations.
Modular robots can now traverse challenging terrains without self-destructing, thanks to a new gait optimization that minimizes joint stress.
Forget complex force sensors: this self-aligning tool changer uses clever geometry to make modular robot reconfiguration robust to real-world positioning errors.
Robots can now better collaborate with humans on assembly tasks by using vision-language models augmented with internal and external correction mechanisms that improve task feasibility and handle physical failures.
