IEEE Transactions on Robotics and Automation · 1993 · 170 citations · 18 references
EngineeringComputer ScienceRobotics EngineeringGeometric ModelingGraspingRoboticsDexterous ManipulationGeometry ProcessingGrasp PlanningMulti-fingered GraspingRobot ManipulationAntipodal GraspingCritical PointsFinger Contact MechanicsFingertip Contact ModelingGraspGrasp Candidate GenerationGrasp OptimizationSolution Continuation
Two-finger antipodal point grasping of arbitrarily shaped smooth 2-D and 3-D objects is considered. An object function is introduced that maps a finger contact space to the object surface. Conditions are developed to identify the feasible grasping region, F, in the finger contact space. A "grasping energy function", E, is introduced which is proportional to the distance between two grasping points. The antipodal points correspond to critical points of E in F. Optimization and/or continuation techniques are used to find these critical points. In particular, global optimization techniques are applied to find the "maximal" or "minimal" grasp. Further, modeling techniques are introduced for representing 2-D and 3-D objects using B-spline curves and spherical product surfaces.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
18
Optimization by Simulated Annealing
Scott Kirkpatrick, C. D. Gelatt, M.P. Vecchi · Science · 1983 · 44.6K citations
Superquadrics and Angle-Preserving Transformations
Barr · IEEE Computer Graphics and Applications · 1981 · 1.1K citations
Perceptual organization and the representation of natural form
Alex Pentland · Artificial Intelligence · 1986 · 562 citations