Posted in | News | Consumer Robotics

CICIDA Conducts Studies to Improve Locomotive Actions in Humanoids

The University of Manchester has launched a robotic project using the MapleSim physical modeling software that aims at improving the walking characteristics in humanoids.

Professor Darwin Caldwell at the Italian Institute of Technology, Genova, has been involved in the development of a new humanoid robot, called CCub, which is an improved version of the iCub, another humanoid developed at the IIT.

The Centre for Interdisciplinary Computational and Dynamic Analysis (CICIDA) has collaborated with Professor Caldwell for improving the locomotive actions in humanoids. CICIDA uses a hybrid model to study in detail about the walking characteristics. The robot’s response is captured using spring or dampers present in the system. Simulation of the vertical ground reaction force is produced by the damping characteristics of the springs. Moreover, the model uses dampers to simulate actuator dynamics.

Ph.D. student Houman Dallali has effectively produced complex simulations using the 'drag and drop’. The MapleSim's interface allows users to edit existing routines with minimal effort. The linearization techniques offered by MapleSim is highly effective for simulating robots. The CICIDA team’s future projects may include dynamic walking of robots with full body control and extended range of gaits.

Source: http://www.cicada.manchester.ac.uk/

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.