Biped robots are intricate in design, with more degrees of freedom (DOF) because of the challenging goal of imitating humanoid gait. This paper gives a very simple architecture of the biped robot have three degrees of freedom (DOF)in each leg, one DOF for hip joint and one corresponding to the knee and ankle joint respectively. Denavit-Hartenberg parameter is being used to obtain the solution f...

The kinematics of robot manipulators is a corner stone in the study of robotics in general. The computational complexity of the kinematics quite often prevents robotics instructors from using robots of general structure in their illustrative examples and assignments. The software discussed in this article, developed from recent research to support an undergraduate course in robotics, offers com...

When creating datasets for modelling of human grasping and manipulation skills based on training examples from human motion one can encounter the problem that the kinematics of the robot does not match the human kinematics. We present a simple method of bypassing the explicit modelling of the human kinematics.

We present a neural-network method to recalibrate automatically a commercial robot after undergoing wear or damage, which works on top of the nominal inverse kinematics embedded in its controller. Our starting point has been the work of Ritter et al. (1989, 1992) on the use of extended self-organizing maps to learn the whole inverse kinematics mapping from scratch. Besides adapting their approa...

The inverse kinematics problem of a two degree of freedom (2DOF) planar robot arms issolved using Adomian’s decomposition method (ADM), after converting to a system of twononlinear algebraic equations. The advantage of the method is that it gives the solutions asfunctions of the desired position of the end effecter and the length of the arms. The accuracyof the solutions can be increased up to ...

The solution of robot inverse kinematics has a direct impact on the control accuracy robot. Conventional methods, such as numerical solution, algebraic and geometric have insufficient speed accuracy, process is complicated. Due to mapping ability neural network, use networks solve problems attracted widespread attention. However, it slow convergence low accuracy. This paper proposes FOA optimiz...

We present a normal form approach to solving the singular inverse kinematic problem for non-redundant robot kinematics. A standing assumption is made that singular configurations of the kinematics have corank 1 and that the kinematics are equivalent to the quadratic normal form. The approach has been illustrated with a simulation case study of 2R kinematics. A comparison with the Singularity-Ro...

This paper provides an estimation model for calibrating the kinematics of manipulators with a parallel geometrical structure. Parameter estimation for serial link manipulators is well developed, but fail for most structures with parallel actuators, since the forward kinematics is usually not analytically available for these. We extend parameter estimation to such parallel structures by developi...

Skid-steering mobile robots are widely used because of their simple mechanism and robustness. However, due to the complex wheel-ground interactions and the kinematic constraints, it is a challenge to understand the kinematics and dynamics of such a robotic platform. In this paper, we develop an analysis and experimental kinematic scheme for a skid-steering wheeled vehicle based-on a laser scann...

Real-time control of the endeffector of a humanoid robot in external coordinates requires computationally efficient solutions of the inverse kinematics problem. In this context, this paper investigates inverse kinematics learning for resolved motion rate control (RMRC) employing an optimization criterion to resolve kinematic redundancies. Our learning approach is based on the key observations t...