A collection of various LiDAR and ToF (Time-of-Flight) sensing solutions including 360 degree laser range scanners, depth cameras for ROS, and single-point ranging sensors. The selection features technologies such as DTOF, solid-state LiDAR, and RGB-D cameras suitable for SLAM and interactive AI applications.
Key product types:
RPLiDAR series (A1M8, A2M12, S2L, etc.)
STL DTOF sensors
CS depth cameras for ROS
TF series single-point ranging sensors
YDLIDAR linear array solid state LiDAR
Key product types:
RPLiDAR series (A1M8, A2M12, S2L, etc.)
STL DTOF sensors
CS depth cameras for ROS
TF series single-point ranging sensors
YDLIDAR linear array solid state LiDAR
NocKinematics is a modern, modular, and lightweight C++ Inverse Kinematics library designed specifically for Arduino and ESP32 microcontrollers. It utilizes the FABRIK (Forward And Backward Reaching Inverse Kinematics) algorithm to provide fast, iterative computations that are more efficient than traditional Jacobian Matrix approaches. The library is optimized for memory-constrained systems like AVR and ESP8266 by using specialized dynamic memory allocation to prevent RAM fragmentation.
Key features and topics:
* N-Joint Support for arbitrary numbers of connected joints.
* Memory-optimized architecture avoiding heavy std::vector usage.
* Platform agnostic compatibility with Arduino Uno, Nano, Mega, ESP8266, and ESP32.
* Practical implementation examples ranging from basic logic verification to multi-DOF servo motor control.
* Support for complex mechanisms like snake or tentacle simulations via the MultiJointSnake example.
Key features and topics:
* N-Joint Support for arbitrary numbers of connected joints.
* Memory-optimized architecture avoiding heavy std::vector usage.
* Platform agnostic compatibility with Arduino Uno, Nano, Mega, ESP8266, and ESP32.
* Practical implementation examples ranging from basic logic verification to multi-DOF servo motor control.
* Support for complex mechanisms like snake or tentacle simulations via the MultiJointSnake example.
An introduction to JD Robotics and the Stewy V2 platform, designed as an approachable learning tool for robotics. The project emphasizes open-source development, simple yet capable hardware designs that maximize motor utility, and active community support for troubleshooting and customization.
This article introduces ROSA, a Robot Operating System (ROS) framework designed to seamlessly integrate Large Language Models (LLMs) into embodied AI systems. ROSA addresses the challenges of connecting LLMs to robotic hardware by providing a standardized interface for perception, planning, and action.
The framework utilizes a prompt-based approach, converting robot tasks into natural language prompts for the LLM. This allows for flexible task specification and reasoning.
ROSA also includes tools for managing LLM outputs, ensuring safe and reliable robot behavior. The authors demonstrate ROSA’s capabilities through various experiments, showcasing its potential for creating more intelligent and adaptable robots.
The framework utilizes a prompt-based approach, converting robot tasks into natural language prompts for the LLM. This allows for flexible task specification and reasoning.
ROSA also includes tools for managing LLM outputs, ensuring safe and reliable robot behavior. The authors demonstrate ROSA’s capabilities through various experiments, showcasing its potential for creating more intelligent and adaptable robots.
Sowbot is an open robotics platform designed to scale regenerative agriculture by providing accessible, lightweight robotics to researchers and farmers. It aims to bridge the "prototype gap" in agricultural robotics with a Reference Hardware Design and a Production-Ready Software Stack. The system comprises an 'Open Core' compute unit with dedicated boards for control/safety and perception/AI, powered by open-source software like Lizard, RoSys, and DevKit ROS. Various platforms like Sowbot, Sowbot Mini, and Sowbot Pico cater to different development stages, all emphasizing modularity, open-hardware, and a commitment to sustainability.
We designed and built a 12 degree-of-freedom (3 servos per leg × 4 legs) quadruped robot controlled by a Raspberry Pi Pico W, featuring integrated environmental sensing and a wireless WiFi controller. Starting from a custom CAD body and 3D-printed frame, the robot combines mechanical engineering and embedded electrical engineering to create a platform capable of coordinated four-legged locomotion, heading determination, environmental mapping, and target detection. In order to do so, our system leverages several sensors including an IMU, a solid state LiDAR sensor, and a contact-less infrared sensor.
Documentation for the Hiwonder SpiderPi Pro robotic arm, covering getting ready, quick user experience, remote desktop installation, PC software & programming, kinematics, AI visual recognition & tracking, AI visual transporting & kicking ball, group control, and network configuration.
SpiderPi Pro is an advanced hexapod robot integrated with AI vision and powered by Raspberry Pi. It features intelligent serial bus servos with a torque of 20KG, 5DOF robot arm, glowy ultrasonic sensor, IMU sensor and dot matrix module and can be programmed using Python. SpiderPi Pro serves as an ideal platform for conducting research in motion control for hexapod robots, machine vision, OpenCV, deep learning, and various other fields.
ROSbot is a ROS powered 4x4 drive autonomous mobile robot platform equipped with LIDAR, RGB-D camera, IMU, encoders, distance sensors. Available in versions 3, 2R, 2 PRO, and 2.
