Nikita Bragin PRO
branikita
AI & ML interests
Founder of Robonine. Robotics for research and education
Recent Activity
reacted to theirpost with ๐ฅ 4 days ago
Progress update on our Robonine mobile robotic platform. We've wired up the full electronics stack - Raspberry Pi, motor controllers, and a camera module - and added Bluetooth joystick and keyboard control with WiFi-based management. A 7 kg counterweight keeps the platform stable. Powered by a powerbank and ready to roll.Organizations
Post
5559
Progress update on our Robonine mobile robotic platform. We've wired up the full electronics stack - Raspberry Pi, motor controllers, and a camera module - and added Bluetooth joystick and keyboard control with WiFi-based management. A 7 kg counterweight keeps the platform stable. Powered by a powerbank and ready to roll.
posted an update 4 days ago
Post
5559
Progress update on our Robonine mobile robotic platform. We've wired up the full electronics stack - Raspberry Pi, motor controllers, and a camera module - and added Bluetooth joystick and keyboard control with WiFi-based management. A 7 kg counterweight keeps the platform stable. Powered by a powerbank and ready to roll.
repliedto their post 16 days ago
I'm not familiar with it.
Post
1860
Robonine just published a new article! Mechanical backlash is a common limitation in servo-driven robotic joints. In this experiment, paired Feetech STS3215 servos are used with a small opposing preload to eliminate gearbox play, significantly improving positional stability and motion precision in robotic manipulators.
https://robonine.com/backlash-compensation-in-sts3215-servo-actuators/
https://robonine.com/backlash-compensation-in-sts3215-servo-actuators/
posted an update 16 days ago
Post
1860
Robonine just published a new article! Mechanical backlash is a common limitation in servo-driven robotic joints. In this experiment, paired Feetech STS3215 servos are used with a small opposing preload to eliminate gearbox play, significantly improving positional stability and motion precision in robotic manipulators.
https://robonine.com/backlash-compensation-in-sts3215-servo-actuators/
https://robonine.com/backlash-compensation-in-sts3215-servo-actuators/
Post
4096
Testing a parallel gripper with a MaixSense-A010 ToF depth camera (100-point sensor) and pressure sensors.
By combining depth data with force feedback, the gripper closes only when the object is in a graspable position. If the object slips or leaves the grasp zone before closing, the system can automatically retry โ as shown in the video.
Gripper repository (version without camera and sensors):
https://github.com/roboninecom/SO-ARM100-101-Parallel-Gripper
By combining depth data with force feedback, the gripper closes only when the object is in a graspable position. If the object slips or leaves the grasp zone before closing, the system can automatically retry โ as shown in the video.
Gripper repository (version without camera and sensors):
https://github.com/roboninecom/SO-ARM100-101-Parallel-Gripper
posted an update 18 days ago
Post
4096
Testing a parallel gripper with a MaixSense-A010 ToF depth camera (100-point sensor) and pressure sensors.
By combining depth data with force feedback, the gripper closes only when the object is in a graspable position. If the object slips or leaves the grasp zone before closing, the system can automatically retry โ as shown in the video.
Gripper repository (version without camera and sensors):
https://github.com/roboninecom/SO-ARM100-101-Parallel-Gripper
By combining depth data with force feedback, the gripper closes only when the object is in a graspable position. If the object slips or leaves the grasp zone before closing, the system can automatically retry โ as shown in the video.
Gripper repository (version without camera and sensors):
https://github.com/roboninecom/SO-ARM100-101-Parallel-Gripper
Post
1533
We tested our 3D-printed parallel gripper for the SO-ARM100/101 robotic platform, successfully handling a 1.5 kg payload. The gripper features a 100.5mm full stroke and ยฑ0.05mm repeatability โ all for around $76 in parts and 30 minutes of assembly.
Full source code, STL files, and assembly guide are open-source and available on GitHub: https://github.com/roboninecom/SO-ARM100-101-Parallel-Gripper
Full source code, STL files, and assembly guide are open-source and available on GitHub: https://github.com/roboninecom/SO-ARM100-101-Parallel-Gripper
posted an update 24 days ago
Post
1533
We tested our 3D-printed parallel gripper for the SO-ARM100/101 robotic platform, successfully handling a 1.5 kg payload. The gripper features a 100.5mm full stroke and ยฑ0.05mm repeatability โ all for around $76 in parts and 30 minutes of assembly.
Full source code, STL files, and assembly guide are open-source and available on GitHub: https://github.com/roboninecom/SO-ARM100-101-Parallel-Gripper
Full source code, STL files, and assembly guide are open-source and available on GitHub: https://github.com/roboninecom/SO-ARM100-101-Parallel-Gripper
Post
1658
Our colleague Vladimir Osipov equipped the SO-ARM100 parallel gripper with FSR402 force sensors to enable delicate object handling with real-time grip force feedback. The sensor detects forces as low as 0.2N, while the target grip force is tuned per object โ around 5N for a cherry tomato โ to account for the limited torque precision of STS3215 servos and prevent slipping. This allows the gripper to grasp soft objects gently, detect slippage, and automatically retry the grip.
Github of the parallel gripper:ย https://github.com/roboninecom/SO-ARM100-101-Parallel-Gripper
Github of the parallel gripper:ย https://github.com/roboninecom/SO-ARM100-101-Parallel-Gripper
posted an update about 1 month ago
Post
1658
Our colleague Vladimir Osipov equipped the SO-ARM100 parallel gripper with FSR402 force sensors to enable delicate object handling with real-time grip force feedback. The sensor detects forces as low as 0.2N, while the target grip force is tuned per object โ around 5N for a cherry tomato โ to account for the limited torque precision of STS3215 servos and prevent slipping. This allows the gripper to grasp soft objects gently, detect slippage, and automatically retry the grip.
Github of the parallel gripper:ย https://github.com/roboninecom/SO-ARM100-101-Parallel-Gripper
Github of the parallel gripper:ย https://github.com/roboninecom/SO-ARM100-101-Parallel-Gripper
Post
2927
We stress-test the FEETECH STS3215: real backlash (0.87ยฐ measured vs spec), repeatability, speed accuracy, stall torque above rating, and thermal overload behavior under continuous load. Practical implications for robot arms and grippers.
Full video: https://www.youtube.com/watch?v=UN5_fZVSWcw
Full video: https://www.youtube.com/watch?v=UN5_fZVSWcw
posted an update about 1 month ago
Post
2927
We stress-test the FEETECH STS3215: real backlash (0.87ยฐ measured vs spec), repeatability, speed accuracy, stall torque above rating, and thermal overload behavior under continuous load. Practical implications for robot arms and grippers.
Full video: https://www.youtube.com/watch?v=UN5_fZVSWcw
Full video: https://www.youtube.com/watch?v=UN5_fZVSWcw
repliedto their post 2 months ago
When we say better, we need to understand better for which conditions? Once we specify such conditions (constraints), model can produce an optimal hand for specific conditions. Into engineering work Nikolay defined such conditions first, after that system offered us more rigidity construction.
Post
2740
Robonine (Educational Robotics) completed a structural optimization of our 6-DOF robotic manipulator after a structural optimization study. By increasing structural rigidity through topology optimization and design refinement, we reduced end-effector deflection by over 60% (from ~1.05 mm to ~0.41 mm) and improved motion stability. The final configuration delivers higher precision and reliability for industrial applications.
Article: https://robonine.com/increasing-the-structural-rigidity-of-the-manipulator/
Article: https://robonine.com/increasing-the-structural-rigidity-of-the-manipulator/
posted an update 2 months ago
Post
2740
Robonine (Educational Robotics) completed a structural optimization of our 6-DOF robotic manipulator after a structural optimization study. By increasing structural rigidity through topology optimization and design refinement, we reduced end-effector deflection by over 60% (from ~1.05 mm to ~0.41 mm) and improved motion stability. The final configuration delivers higher precision and reliability for industrial applications.
Article: https://robonine.com/increasing-the-structural-rigidity-of-the-manipulator/
Article: https://robonine.com/increasing-the-structural-rigidity-of-the-manipulator/