
doi: 10.1002/rob.20018
handle: 11379/318 , 11571/132579
AbstractIn this paper we propose a method, based on both physiologic and engineering considerations, for the motion planning of a prosthetic finger. In particular, we exploit a minimum jerk approach to define the trajectory in the Cartesian space. Then, cubic splines are adopted in the joint space. The redundancy problem arising from the presence of three links is solved by assuming that there is a constant ratio between the second and the third joint motion. The value of the proportional constant is determined by minimizing the maximum jerk in the joint space. It is found that this constant value can be suboptimally but effectively set to one for all the movements. This approach guarantees a natural movement of the finger as well as reduced vibrations in the mechanical structure and increased control performances. © 2004 Wiley Periodicals, Inc.
Robotica, Motion planning; prosthetic finger; jerk, Rehabilitation, Biomechanics, Computational methods for problems pertaining to mechanics of particles and systems, Kinematics of mechanisms and robots, 004
Robotica, Motion planning; prosthetic finger; jerk, Rehabilitation, Biomechanics, Computational methods for problems pertaining to mechanics of particles and systems, Kinematics of mechanisms and robots, 004
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 26 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
