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yobot R2V1

Educational-RobotsChinaChina출시됨
yobot R2V1
비교
용도:
연구Humanoid locomotion researcheducationcommercial performance and exhibition
가격:
미공개

설명

The R2V1 is the agile member of the yobot family, engineered to explore the limits of humanoid motion rather than to carry things. Its body is topology-optimised for lightness — 148 cm and 43 kg — and it has been through 600 hours of durability testing designed around repeated extreme operating conditions, which is the kind of number that matters for a machine sold to research groups who will abuse it. Motion runs on GOPS, the embodied-intelligence training framework Openmind developed with Tsinghua University, integrating more than thirty mainstream reinforcement-learning algorithms for highly dynamic whole-body coordinated control. Twenty-two degrees of freedom excluding hands split as four per arm, two at the waist and six per leg, walking at 1 m/s and running at 2 m/s. Compute is 157 TOPS across eight Cortex-A78AE cores and 1,024 CUDA cores. The sensor fit is deliberately minimal — an IMU as standard, with LiDAR, depth cameras, microphone and speaker all optional — because the platform is sold as a physical base for education, research and commercial performance, to be instrumented as the customer needs.

주요 기능

  • Topology-optimised lightweight body at 148 cm and 43 kg
  • 600 hours of rigorous durability testing under repeated extreme operating conditions
  • 22 degrees of freedom excluding dexterous hands — arms 4 each, waist 2, legs 6 each
  • GOPS embodied-intelligence training framework developed with Tsinghua University, integrating 30+ mainstream reinforcement-learning algorithms
  • 1 m/s walking and 2 m/s running
  • 157 TOPS from 8 Cortex-A78AE cores at 2.0 GHz and 1,024 NVIDIA CUDA cores with 16 GB LPDDR5 and 512 GB SSD
  • five control modes — zero-torque, standby, damping, debugging and motion
  • quick-swap battery packs and dexterous hands
  • gamepad and VR teleoperation
  • ROS 2, Python and C++ on Ubuntu with URDF files, simulation models, EtherCAT support and a standard SDK
  • OTA updates with one-click upgrade and rollback
  • optional LiDAR, depth camera, microphone and speaker.

기술 사양

물리 사양
무게43 kg
크기H 1.48 m
이동성
이동 방식이족보행
자유도22
속도3.6 km/h
조작 능력중간
작동 환경-10°C to 50°C
액추에이터22 DoF excluding dexterous hands — single arm 4, waist 2, single leg 6; topology-optimised lightweight structure; quick-release design for battery packs and dexterous hands
전원
배터리 지속 시간2 h
센싱 & 컴퓨팅
센서IMU, optional LiDAR, optional depth camera, optional microphone and speaker
연결성Ethernet, Wi-Fi 6, Bluetooth and 5G; RJ45 x2 and USB 3.0 Type A x2 expansion; Ethernet port x4, USB 3.1 Type C x4; HDMI x1, AUX x1, RS485 x2, GMSL x6
소프트웨어 / AIGOPS embodied-intelligence training framework developed with Tsinghua University, integrating 30+ reinforcement-learning algorithms for highly dynamic whole-body coordinated control; five control modes (zero-torque, standby, damping, debugging, motion); ROS 2, Python and C++ on Ubuntu with URDF, simulation models, EtherCAT and standard SDK; OTA with one-click upgrade and rollback
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자주 묻는 질문

What is the yobot R2V1?

The R2V1 is the agile member of the yobot family, engineered to explore the limits of humanoid motion rather than to carry things.

Who makes the yobot R2V1?

The yobot R2V1 is made by Openmind Intelligent Robot, a robotics company based in China.

How much does the yobot R2V1 cost?

Openmind Intelligent Robot has not publicly announced pricing for the yobot R2V1. You can enquire through RobotAIGeek for current pricing.

What is the yobot R2V1 used for?

The yobot R2V1 is designed for 연구, humanoid locomotion research, education, and commercial performance and exhibition. It is used in 엔터테인먼트, 연구, and 교육 settings.

How much does the yobot R2V1 weigh?

The yobot R2V1 weighs 43 kg.

How fast is the yobot R2V1?

The yobot R2V1 can move at speeds of up to 3.6 km/h.

What is the battery life of the yobot R2V1?

The yobot R2V1 runs for 2 h on a charge.

How many degrees of freedom does the yobot R2V1 have?

The yobot R2V1 has 22 degrees of freedom.

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