Digit by Agility Robotics Climbs and Carries Heavy Objects with Ease
Laura McQuarrie — March 15, 2021 — Tech
References: agilityrobotics & digitaltrends
Digit by Agility Robotics is an impressive biped robot that boasts the ability to seamlessly carry out actions like climbing steps and simultaneously carry heavy items up to 40lbs. As Jonathan Hurst, co-founder of Agility Robotics, revealed to Digital Trends, “Digit can localize itself within a known mapped space, and the user can identify a package to go get and bring back, and Digit can autonomously go retrieve the package off a shelf or the floor, avoid obstacles and navigate through a building, and bring the package back.”
In one sense, the video helps to show off the capabilities of Digit, and in another, it spotlights the fact that Agility Robotics is expanding its outdoor test area so that robots can roam and demonstrate their higher levels of autonomy.
In one sense, the video helps to show off the capabilities of Digit, and in another, it spotlights the fact that Agility Robotics is expanding its outdoor test area so that robots can roam and demonstrate their higher levels of autonomy.
Trend Themes
1. Agile Biped Robots - Agility Robotics could explore the potential of developing biped robots with even greater dexterity and speed
2. Autonomous Package Delivery - The company could implement the technology behind Digit to create a package delivery service using biped robots
3. Obstacle Avoidance Technology - Obstacle avoidance technology used in Digit could have applications for other industries, such as self-driving cars
Industry Implications
1. Robotics Industry - Agility Robotics may continue to lead the progress in the biped robotics industry by developing advanced robots that can perform complex tasks
2. Package Delivery Industry - The introduction of autonomous biped robots in the package delivery industry could revolutionize the way customers receive their packages
3. Automotive Industry - The use of obstacle avoidance technology for biped robots may have implications for self-driving cars to improve their ability to navigate through complex environments
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