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The Cartesian Hand is introduced, a 7-DoF end-effector that rethinks dexterous manipulation by combining independent grasping and relative manipulation within a single end-effector using only linear motion.
Copying human head-neck kinematics leaves over 60% of reachable manipulation space unobservable; independently actuating onboard RGB-D cameras surges visible-reachable coverage to 97% while cutting manipulation energy by 19%.
LLMs may excel in deep reasoning but struggle significantly with breadth, revealing a critical gap in current evaluation benchmarks.
Forget static designs: robots that move with equal ease in all directions aren't just cooler, they're demonstrably more agile, robust, and energy-efficient.
