First Steps to Future Applications of Spinal Neural Circuit Models in Neuroprostheses and Humanoid Robots
نویسندگان
چکیده
In this paper, we outline the relevant topics of neural control for locomotion (Sec. 2), focusing on the functional significance of the CPG network in this context (Sec. 3). By employing a computational modeling approach (Sec. 4), we develop a simulation model (Sec. 5) and outline possible comparison strategies with human data (Sec. 6), aiming to gain further insights of spinal neural circuit models and evaluate their potentials in future neuroprosthetic and humanoid robotics applications.
منابع مشابه
PSO-Based Path Planning Algorithm for Humanoid Robots Considering Safety
In this paper we introduce an improvement in the path planning algorithm for the humanoid soccer playing robot which uses Ferguson splines and PSO (Particle Swarm Optimization). The objective of the algorithm is to find a path through other playing robots to the ball, which should be as short as possible and also safe enough. Ferguson splines create preliminary paths using random generated para...
متن کاملParalysis Lost: The Challenge For Functional Restoration Through Technological Advance
Neural prostheses have made significant improvements to the management of people with spinal cord injury over the last 30 years. However, the imagination of patients is now turning to complete functional restoration through the exciting possibilities of neural repair. Here we address the future role for neuroprostheses in the light of these high expectations of “overcoming paralysis through a ‘...
متن کاملA Low Friction Demanding Approach in Gait Planning for Humanoid Robots During 3D Manoeuvres
This paper proposes a gait planning approach to reduce the required friction for a biped robot walking on various surfaces. To this end, a humanoid robot with 18 DOF is considered to develop a dynamics model for studying various 3D manoeuvres. Then, feasible trajectories are developed to alleviate the fluctuations on the upper body to resemble human-like walking. In order to generate feasible w...
متن کاملApplying motor resonance to humanoid robots
As humanoid robots are likely to become present in our societies, it is important to understand humans’ reactions to these agents and to develop neuromimetic models of robots’ motor learning. Motor resonance is an emerging framework based the overlap between neural processes involved in the execution and the perception of human actions. In this review of previous works, I will present a paradig...
متن کاملThe Intelligent Modeling of Human Hand Motion Using Magnetic Based Techniques
With increasing use of robots instead of human in industrial, medicine and military applications etc.the importance of research on designing and building of robots is increasing. In this paper variousmethods of the human hand motion simulation has been investigated and we used one of most commonmethod named Data-gloves which extract data from hand and then we simulated hand motion duringseveral...
متن کامل