top of page

Humanoid Robot Application for
Multi-task Industrial & Commercial Services

 

Semantic VSLAM Navigation By designing a tightly coupled method of semantic perception information and traditional VSLAM, a two-stage semantic navigation improves Walker S1's spatial understanding ability and meets the generalization needs in industrial scenarios.

The robots employ Visual SLAM, or vSLAM; A technology that combines computer vision and mapping algorithms to enable a device, like a robot or drone, to simultaneously build a map of its environment and track its own position within that map. It uses camera images as the primary sensor input to achieve this, allowing for autonomous navigation and operation in various environments. 

                                    Privacy policy    Terms of use

We are committed to complying with the Americans with Disabilities Act (ADA) and Web Content Accessibility Guidelines (WCAG 2.0 AA). We are working hard to thoroughly test our web features in an effort to meet the requirements of the most commonly used assistive technologies.

Location 

100 SE 3rd Ave, Fort Lauderdale, FL 33394
                       

                           US | PR | CDMX | UAE                                                            

2024  Witzense.com All rights reserved

bottom of page