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Posted on by Debashis Das - No Comments on reBot Arm B601-DM – An open-source 6+1 DoF robotic arm for embodied AI and teleoperation applications

reBot Arm B601-DM – An open-source 6+1 DoF robotic arm for embodied AI and teleoperation applications

reBot Arm B601 DM Bundle

Seeed Studio reBot Arm B601-DM is a fully open-source 6-axis robotic arm (plus a parallel gripper) designed to lower the barrier to entry for embodied AI learning and teleoperation. Built around high-performance Damiao actuators, the arm offers up to 767mm of reach, a 1.5kg payload capacity, and high-precision 0.2mm repeatability. Designed for researchers and robotics developers, the B601-DM is compatible out of the box with major AI and robotics frameworks, including ROS 1/2, Hugging Face’s LeRobot, NVIDIA Isaac Sim, and Pinocchio. Seeed Studio reBot Arm B601-DM specifications: Communication – CAN bus @ 1Mbps) and UART @ 921600bps Degrees of Freedom (DOF) – 6-axis arm + 1 parallel gripper Motors / Actuators – 7x Damiao motors 4x DAMIAO 4310 (DM-J4310-2EC) 3x DAMIAO 4340P (DM-J4340P-2EC) high-torque motors Payload – 1.5kg (without gripper, at recommended 70% reach) Reach – 767mm (with gripper), 607mm (without gripper) Repeatability – < 0.2 mm Joint torque and […]

Posted on by Debashis Das - 2 Comments on LooperRobotics Insight 9 standalone spatial AI camera features D-Robotics RDK X5 SoC, supports ROS 2 (Crowdfunding)

LooperRobotics Insight 9 standalone spatial AI camera features D-Robotics RDK X5 SoC, supports ROS 2 (Crowdfunding)

LooperRobotics Insight 9

LooperRobotics Insight 9 is an autonomous plug-and-play spatial AI camera designed for embodied intelligence, quadruped robots, and dynamic mobile platforms. Compared to typical USB depth cameras like Intel RealSense D435i or Luxonis OAK-D, which rely on a host PC for processing, the Insight 9 integrates a D-Robotics RDK X5 octa-core Cortex-A55 processor with a 10 TOPS AI accelerator, allowing it to run Visual SLAM (V-SLAM) and depth mapping entirely on-device. The camera features a “Tri-Eye Perception Matrix,” which includes an 8.4MP Sony Starvis IMX415 RGB sensor with an ultra-wide 188° field of view, and two SmartSens SG0132 global shutter sensors for stereoscopic depth. Encased in a passively cooled CNC aluminum chassis, it is also equipped with an automotive-grade Bosch BMI088 IMU capable of 24g high-G tracking, making it suitable for the heavy vibrations of legged locomotion. LooperRobotics Insight 9 specifications: SoC – D-Robotics RDK X5 octa-core Arm Cortex-A55 processor @ 1.5 GHz; […]

Posted on by Debashis Das - 8 Comments on MediaTek unveils 50 TOPS Genio Pro 5100 Cortex-X925/X4/A720 SoC, 7.2 TOPS Genio 420 Cortex-A78/A55 SoC for AIoT applications

MediaTek unveils 50 TOPS Genio Pro 5100 Cortex-X925/X4/A720 SoC, 7.2 TOPS Genio 420 Cortex-A78/A55 SoC for AIoT applications

MediaTek Genio Pro 5100 and Genio 420 IoT SoCs

After launching the Genio 360/360P hexa/octa-core SoCs last month, MediaTek has now expanded the lineup with the Genio Pro 5100 and Genio 420 AIoT SoCs at Embedded World 2026. The Genio Pro 5100 is a 3nm SoC with an “all big-core” architecture and a 50+ TOPS NPU for Edge AI applications. The Genio 420, on the other hand, is a cost-efficient 6nm platform designed for smart home, retail, and industrial IoT devices. MediaTek Genio Pro 5100 The Genio Pro 5100 integrates one Cortex-X925, three Cortex-X4, and four Cortex-A720 cores, as well as an Arm Immortalis-G925 GPU, and supports LPDDR5X memory up to 8533 Mbps. It can handle up to three 4K displays, up to 16 cameras via virtual channels, and 8K30 video encode/decode, and offers interfaces such as PCIe Gen4, USB 3.2 Gen2, USB 2.0, and dual 2.5GbE MAC. Genio Pro 5100 (MT8894) specifications:  CPU – 8-core Arm v9.2 processor […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on FOSDEM 2026 schedule – Embedded, RISC-V, Robotics, Rust, Open Hardware, and more

FOSDEM 2026 schedule – Embedded, RISC-V, Robotics, Rust, Open Hardware, and more

FOSDEM 2026 schedule

FOSDEM 2026 will take place on January 31-February 1, with thousands of developers meeting in Brussels to discuss open-source software & hardware projects. The free-to-attend “Free and Open Source Software Developers’ European Meeting” gets more traction every year, and in 2026, there will be at least 1,113 speakers, 1,016 events, 70 tracks, and potentially close to 10,000 attendees. As usual, I’ll create a virtual schedule with sessions most relevant to the topics covered on CNX Software from the “Embedded, Mobile and Automotive” and “Open Hardware and CAD/CAM” devrooms, but also other devrooms, including “RISC-V”, “Robotics and simulation”, and “FOSS on Mobile”, among others. I’m aware some of the talks overlap by a couple of minutes or so… FOSDEM 2026 Day 1 – Saturday, January 31 10:40 – 11:15 – RISC-V Vector optimisations in FFmpeg by Rémi Denis-Courmont FFmpeg is the most versatile multimedia codec and format support library, and was […]

Posted on by Debashis Das - No Comments on Firefly EC-AGXOrin – Jetson AGX Orin 64GB AI inference system supports up to 8 GMSL2 cameras

Firefly EC-AGXOrin – Jetson AGX Orin 64GB AI inference system supports up to 8 GMSL2 cameras

EC AGXOrin NVIDIA Jetson 275 TOPS Edge AI Computer

Firefly EC-AGXOrin is an NVIDIA Jetson AGX Orin 64GB-powered AI inference system, similar to the AAEON BOXER-8645AI and Vecow RAC-1000 rugged Edge AI systems, and designed for edge AI applications such as in-vehicle computing, robotic control, machine vision, intelligent video analytics, and mobile robots. The device features eight GMSL2 connectors (input via two 4-pin Mini FAKRA interfaces) and supports up to 22-channel 1080p or 8K, 30fps H.265 video decoding. It delivers 275 TOPS of AI performance through the NVIDIA module, and integrates 64GB LPDDR5 RAM, 64GB eMMC storage, and offers M.2 NVMe and MicroSD card storage options. Other ports include a 10GbE RJ45 jack, five GbE jacks, USB 3.0, HDMI 2.0, RS232, RS485, CAN, and the system also supports WiFi 6, Bluetooth 5.2, 4G/5G cellular connectivity, and GPS/GNSS. Firefly EC-AGXOrin specifications: SoM – Jetson AGX Orin module with CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor with 3MB L2 + […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Hengbot Sirius is a trainable AI robotic dog for consumers and developers (Crowdfunding)

Hengbot Sirius is a trainable AI robotic dog for consumers and developers (Crowdfunding)

Henbot Sirius trainable AI robot dog

Hengbot Sirius is a small AI robotic dog that can be trained by users with “manual teaching” and by developers using tools such as Sirius Creator Studio Pro and C or Python APIs. Features include an 8MP camera, a dual-mic array, and a speaker for user interaction using LLMs, text-to-speech, voice recognition, and computer vision leveraging the built-in 5 TOPS AI accelerator, a small LCD, a few RGB LEDs and sensors, and 14 DoF for legs and the head. We’ve seen plenty of other robot dogs over the years, such as the Hiwonder MechDog, the Raspberry Pi CM4-based CM4 XGO Lite smart robot dog, Mini Pupper 2, and Petoi Bittle, among others. Most are more robot-like than dog-like, and the Sirius has a more appealing design closer to a real dog. Hengbot Sirius specifications: SoC – Unnamed but likely Horizon Robotics Sunrise X3 CPU – Quad-core Arm Cortex-A53 @ 1.2-1.5 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 4 Comments on $5,900 Unitree R1 is an ultra-lightweight, customizable humanoid robot

$5,900 Unitree R1 is an ultra-lightweight, customizable humanoid robot

low-cost humanoid robot

The Unitree R1 is a cost-effective, ultra-lightweight, and customizable humanoid robot that stands 1.21m tall and weighs approximately 25kg in its default configuration. The company says pricing starts at $5,900, which is considerably cheaper than the company’s G1 humanoid robot or Elephant Robotics’ Mercuxy X1 wheeled humanoid robot, both of which go for about $16,000 and up. Some cost-cutting measures had to be taken for the lower price, including a slightly shorter design and missing features like working hands… Let’s check out the specifications for more details. Unitree R1 specifications: Computing 8-core CPU Optional “high-power computing module” for EDU version only: NVIDIA Jetson Orin with 40 to 100 TOPS of AI processing power Audio 4-Mic Array Build-in Speaker Camera – Humanoid binocular cameras Wireless – WiFi & Bluetooth 5.2 Degree of Freedom (Total Joints) – 26 Single Leg Degrees of Freedom – 6 Single Arm Degrees of Freedom – 5 […]

Posted on by Debashis Das - No Comments on Hexfellow Y200 IMU – An industrial 9-axis sensor with shock-resistant housing, CAN Bus, and 60V input

Hexfellow Y200 IMU – An industrial 9-axis sensor with shock-resistant housing, CAN Bus, and 60V input

Hexfellow Y200 IMU 9 axis industrial IMU

The Hexfellow Y200 is a rugged, 9-axis industrial-grade IMU module designed for robotics and AGV applications. It supports direct 12V to 60V input and connects via a CAN Bus interface using a standard XT30 connector. The module produces high-accuracy roll, pitch, and yaw angle output at up to 200Hz, and combines a low-variance accelerometer and gyroscope for stable performance. Its reinforced enclosure and internal potting process enhance shock resistance and durability. Measuring 60 x 60 x 15 mm, the Y200 is built to operate in temperatures ranging from -20°C to 85°C, making it suitable for demanding industrial environments. Hexfellow Y200 IMU specifications: IMU Type – 9-axis industrial-grade IMU (Gyroscope, Accelerometer, Magnetometer) Interface – XT30 connector for CAN bus (CANOpen protocol, Node ID: 0x10) Angle Output: Roll/Pitch Accuracy – ±0.15° (1σ RMS) Yaw Accuracy – ±0.2° (1σ RMS) Range – Roll: ±180°, Pitch: ±90°, Yaw: ±180° (Unreferenced) Resolution – 0.001°  Gyroscope: […]