Elephant Robotics myArm C650

The Elephant Robotics myArm C650 is a sophisticated 6-degree-of-freedom collaborative robotic arm designed specifically for educational institutions, research laboratories, and maker communities. This desktop-scale manipulator combines precision engineering with an integrated camera system that enables advanced computer vision capabilities including object detection, color-based sorting, and visual servoing control. With a 650mm reach envelope and 250g payload capacity, the myArm C650 delivers professional-grade performance in a compact form factor that fits seamlessly into laboratory and educational environments.

Featuring multiple connectivity options including USB and WiFi, along with comprehensive software support through Python APIs, ROS2 drivers, and C++ SDKs, the myArm C650 provides researchers and educators with powerful tools for developing and implementing vision-guided robotic systems. The integrated camera transforms simple pick-and-place operations into intelligent vision-based workflows, enabling applications from educational demonstrations to sophisticated research projects involving computer vision and robotics integration.

• Degrees of Freedom (DOF): 6 axes with full articulation for complex spatial manipulation tasks
• Reach Envelope: 650mm maximum horizontal reach from mounting base to end effector
• Payload Capacity: 250 grams maximum lift capacity at full extension; higher payloads supported at reduced reach distances
• Repeatability: Plus or minus 0.5 millimeter positioning accuracy for reliable task execution
• Integrated Camera: High-resolution vision module with RGB color detection and object recognition capabilities
• Camera Specifications: 640x480 resolution minimum; supports real-time video streaming for visual feedback and monitoring
• Operating Voltage: 12V DC power input with integrated power management and protection circuits
• Power Consumption: Approximately 50 watts typical operation; 80 watts peak during high-speed movements
• Connectivity Options: Dual connectivity through USB 2.0 for wired control and WiFi for wireless remote operation
• Supported Communication Protocols: Ethernet-based ROS2 communication, TCP/IP socket interfaces, and native USB serial protocols
• Operating Temperature Range: 0 to 45 degrees Celsius for optimal performance and component longevity
• Weight: Approximately 3.5 kilograms including all motors and structural components
• Mounting: Universal VESA-compatible base for mounting on tabletops, benches, or industrial workstations
• Motor Type: High-torque servo motors with programmable speed and acceleration profiles
• Joint Range Limits: Mechanical joint stops prevent damage from software errors; fully programmable within safe operating range
• Form Factor: Compact desk-friendly design measuring approximately 45cm height by 30cm width when mounted on base
• Material Construction: Aluminum alloy structural frame with stainless steel fasteners for durability and corrosion resistance
• Operating Temperature: -10C to 50C
• Communication Protocols: USB 2.0, RS485 serial, UART debug, Ethernet connectivity options

• Integrated Vision Module: Built-in camera eliminates the need for external vision systems; simplifies hardware setup and reduces system cost compared to traditional robotic arms with separate camera mounts
• Object Detection Capabilities: Computer vision algorithms enable the arm to autonomously locate, identify, and track objects in the workspace; supports both machine learning and traditional computer vision approaches
• Color Sorting Functionality: Advanced color detection algorithms allow the arm to perform color-based object sorting without manual object feeding; essential for quality control and material handling demonstrations
• Visual Servoing Control: Real-time camera feedback provides continuous position correction during motion; enables precise tracking of moving targets and dynamic task adaptation
• Python API Support: Comprehensive PyMyCobot library provides intuitive Python interface for arm control, camera access, and vision processing; ideal for educational programming and rapid prototyping
• ROS2 Driver Integration: Full compatibility with Robot Operating System 2 ecosystems; enables integration with advanced navigation stacks and third-party ROS modules
• C++ SDK Available: For performance-critical applications requiring compiled code; supports both Linux and Windows development environments
• Multiple Connectivity Options: USB connection for direct computer control and WiFi for wireless operation; supports both wired and mobile application development scenarios
• Collaborative Safety Design: Force-limiting and collision detection prevent injuries during human-robot interaction; suitable for educational demonstrations without external safety barriers
• Modular End Effector System: Compatible with various grippers, suction cups, and custom end-of-arm tooling; quick-change mechanism enables rapid tool switching for different applications
• Precise Motion Control: Programmable speed and acceleration profiles allow optimization for different task requirements; from slow deliberate movements for education to rapid industrial-style cycles
• Multi-Arm Coordination: Network protocol enables synchronized motion across 4+ arms simultaneously
• Teach-and-Playback Mode: Manual guidance recording at 50Hz playback for custom task sequences
• Torque Monitoring: Real-time joint load sensing provides feedback for adaptive control strategies

The myArm C650 serves as a core teaching platform in university robotics and mechatronics programs, where students learn forward and inverse kinematics, trajectory planning, and vision-guided manipulation through hands-on projects. Its integrated camera enables computer vision coursework covering object detection, color segmentation, and visual servoing without requiring additional hardware procurement or complex system integration.

Research laboratories deploy the C650 for prototyping automated inspection workflows, testing grasp planning algorithms, and validating reinforcement learning policies in physical environments before scaling to larger industrial arms. The compact footprint allows multiple units to operate simultaneously on standard lab benches, supporting parallel experimentation across student teams or research groups. Maker spaces and robotics competition teams use the arm for rapid prototyping of automated assembly sequences, pick-and-place sorting challenges, and collaborative human-robot interaction demonstrations.

The dual connectivity through USB and WiFi makes the C650 equally effective for tethered laboratory setups and wireless mobile robotics platforms. When mounted on an AGV base, the arm transforms into a compound mobile manipulator capable of autonomous navigation and object retrieval tasks. Industrial training centers use the C650 to teach programming concepts that transfer directly to full-scale collaborative robots, bridging the gap between educational exercises and production floor requirements.

Unbox the myArm C650 and mount it securely on a stable surface using the included desktop mounting base. Connect the 12V DC power supply to the arm's power input connector, then attach the USB cable to your computer to establish power and communication. Install the pymycobot Python library on your system using pip: `pip install pymycobot`. Download myStudio from the Elephant Robotics website for firmware management, joint calibration, and graphical motion control. Launch myStudio and run the initial joint calibration sequence to ensure accurate positioning across all 6 axes. Verify that the integrated camera module is functioning by checking for video feed in myStudio's camera preview panel before proceeding to operational use.

After initial setup and calibration, test basic motion by executing example Python scripts from the pymycobot documentation. Configure and test the integrated camera module through the pymycobot vision API, which provides functions for image capture, color detection, and object recognition. Run the included sample code to validate camera feed quality and test basic object detection capabilities. For ROS2 integration, install the mycobot_ros2 packages including the camera driver nodes following the official setup documentation. Configure your preferred communication mode (USB or WiFi) through myStudio depending on your application requirements. Complete your setup verification by executing a series of test trajectories and confirming that the camera feed updates in real-time as the arm moves through its workspace.

• myArm C650 Robotic Arm: Complete 6-DOF manipulator with integrated camera module and all servo motors pre-assembled and calibrated
• Desktop Mounting Base: Stable aluminum frame with vibration isolation and adjustable height positioning for optimal workspace ergonomics
• Power Supply Unit: 12V DC regulated power adapter rated for continuous operation with overcurrent and thermal protection
• USB Cable Assembly: 3-meter industrial-grade USB 2.0 cable with ferrite shielding for reliable data communication and noise immunity
• Quick-Change End Effector Mount: Universal adapter plate for rapid switching between different grippers and tools
• Basic Gripper Tool: Standard electric parallel gripper with adjustable grip force for general pick-and-place operations
• Safety Emergency Stop Button: Hardwired e-stop module for immediate power cutoff and arm braking in emergency situations

• myArm C650 User Manual (GitBook): https://docs.elephantrobotics.com/docs/myarm-master_750-en/
• Python SDK (pymycobot): https://github.com/elephantrobotics/pymycobot
• ROS Package: https://github.com/elephantrobotics/mycobot_ros
• ROS 2 Package (myArm C650/M750 branch): https://github.com/elephantrobotics/mycobot_ros2/tree/myArmC650_M750

This product is covered by the Elephant Robotics After-Sales Warranty Policy. The warranty covers defects in material and workmanship under normal use for the following component categories, starting from the date of product receipt.

Covered:

Mechanical Structure (joint connectors, joint shell, joint bearing, end flange, main body structure): 365 Days

Power Supply System (DC power supplies, cables, inverters): 365 Days

Control System (PCBs, main controls, electronic switches, relays, servo drives): 180 Days

Sensors (camera modules, ToF sensors, infrared distance sensors, laser modules): 180 Days

Actuators (servo motors, stepper motors, harmonic motors, cylinders, vacuum pumps): 90 Days

Other Accessories (screw packs, etc.): 365 Days

Not Covered:

- Improper use, installation, or maintenance contrary to the user manual

- Unauthorized modifications, repairs, or disassembly

- Mishandling or improper storage (impacts, falls, immersion)

- Use of non-original accessories, parts, or consumables

- Using power sources or voltage not in line with product specifications

- Force majeure