Simulation is a powerful visualization, planning, and strategic tool in different areas of research and development. The simulation has also a very important role in robotics. In the paper we focus on different tools for the dynamic simulation of robot manipulators, especially on those based on MATLAB/Simulink or using general dynamic engines and graphic languages. We present and compare some t...

In networked multi-robot systems, communication plays a major role defining system’s dynamics and performance. Unfortunately, existing multi-robot simulators do not provide advanced communication models. Therefore, given the intrinsic unreliability of wireless communications, significant differences might be observed between simulation and real-world results. Addressing these issues, we present...

Eggplant picking robot is a type of complex optical-mechanical-electrical equipment in greenhouse environment. Its structure and control are more exigent than traditional industrial robot. Optimization design method was utilized for the design of the eggplant picking robot body structure parameters in accordance with the eggplant growth and distribution space. In order to determine the spatial ...

in this paper an energy dissipation rate control (edrc) method is introduced, which could provide stable walking or running gaits for legged robots. this method is realized by developing a semi-analytical pattern generation approach for a robot during each single support phase (ssp). as yet, several control methods based on passive dynamic walking have been proposed by researchers to provide an...

This paper proposes a framework for a virtual entity‐based rapid prototype (VERP) to facilitate the design and simulation of humanoid robots. The VERP framework consists of three components: virtual entities, a high‐fidelity simulation environment with physical and rendering engines, and an interface between the physical and simulation environments. To study the effectiveness of...

A key methodology for the development of autonomous robots is testing using simulated robot motion and sensing systems. An important issue when simulating teams of heterogeneous autonomous robots is performance versus accuracy. In this paper the multi-robot-simulation framework (MuRoSimF) is presented which allows the flexible and transparent exchange and combination of the algorithms used for ...

Neural network based controller is used for controlling a mobile robot system. Feedback error learning (FEL) can be regarded as a hybrid control to guarantee stability of control approach. This paper presents simulation of a mobile robot system controlled by a FEL neural network and PD controllers. This feedback error-learning controller benefits from both classic and adaptive controller proper...

Controlling a biped robot with a high degree of freedom to achieve stable movement patterns is an open and complex problem. With growing computational power of computer hardware, high resolution realtime simulation of such robot models becomes more and more applicable. This approach presents a physical simulation of a 19 degree of freedom real biped robot model. The aim is to explore and optimi...