13 posts tagged with "panther"

Husarion Panther is a heavy-duty robot designed for a variety of outdoor use cases across agriculture, logistics, mining, and other industries, so we do everything to ensure that its performance is stable and resilient even in the most demanding conditions. This requires not only robust construction, well-designed electronics, and sufficient IP protection rate, but also reliable and efficient software.

That’s why we are pleased to announce the release of Panther v1.0.0 ROS driver - an updated version of Panther software stack, optimized for safety, performance and enhanced user experience, both when working with the physical robot and with its simulation.

In this article, we will dig into the new features of Panther introduced in this release, including:

• new LED animation system that enables you to signal complex Panther behavior easily and efficiently
• a revised version of the URDF model of Panther
• changes for optimized safety and performance.

Let’s get started!

As proud members of the global robotics community, Husarion is excited to support the largest event of the year in robotics and automation - ICRA 2023 in London.

With this year's event theme of "Embracing the Future - Making Robots for Humans", we are looking forward to exchanging ideas and networking with R&D experts and academics, collaborating towards showcasing high-impact innovations in robotics.

Curious to know what we will be showcasing at our booth F12?

Keep reading to learn more about the upcoming attractions:

• Panther - an industrial grade, professional UGV for outdoor environment
• ROSbot XL - our brand new autonomous mobile robot for R&D and custom indoor use cases
• Husarnet - a low-latency peer-to-peer VPN for next gen robotic fleets.

Designing autonomous solutions for agriculture is not an easy task. While there are successful examples of robots autonomously planting, inspecting or picking more accessible crops, there is still a wide variety of fruits and vegetables that remain out of reach when it comes to autonomous harvesting. And there are reasons for that - agricultural environments can be harsh and extremely variable, posing the challenges both to the mechanical robustness of the robot platform and its abilities for autonomous navigation. Another problem to solve is implementing crop picking, which requires algorithms for efficient fruit localization, assessment of its ripeness and plucking without causing damage to the crop, which is especially demanding in case of fragile fruits.

All these challenges didn’t discourage members of EPFL CREATE Lab, who recently developed a proof-of-concept solution for harvesting raspberries, using Panther as a base for their mobile robot. Their novel approach allowed them to achieve 80% successful harvesting rate during the first field test. What was their key to success?