While toys like these may appear to be precariously balanced, they're designed so that the center of gravity is below the pivot point, so that a restoring torque bring them back to a stable equilibrium.
The Wheelbot: A jumping reaction wheel unicycle robot
Combining off-the-shelf components with 3D-printing, the Wheelbot is a symmetric reaction wheel unicycle that can jump onto its wheels from any initial position.
Video source: A. René Geist, Max Planck Institute
While the form of Pivot may be familiar, the experience it provides is something completely new.
To have the exact feeling you’re chasing fit into your pocket to be deployed anywhere is something truly special.
Not to mention the Travel Case that fits the whole setup in a small, organized box. Or the Glass adapter that brings your rig into play.
The Pivot provides.
I'm buzzing with #UE5 ideas recently!
Most often, pivots are baked offline. But sometimes that's not an option (lack of script in your DCC soft., marketplace assets etc). So I made a geometry scripting tool that analyses the mesh and tries to derive the best pivot position & axis
Robots are coming and it's not priced in.
We're on the verge of a robotics supercycle while Washington’s pivot from trade wars to spending could light a fire under equities.
🧵Highlights from our latest episode with @Citrini7
Meet Phantom by Foundation Robotics.This innovative modular robot features a separate upper body and legs, creating a versatile workbench with AMR. For industrial manufacturing, warehouse packaging.Over 40 units will be mass-produced this year, with plans for 20k by 2027.
Agile Omnidirectional Mobile Robot with Gravity-Compensated Wheel-Leg Mechanisms for Human Environment
- Changeable supporting polygon with a small footprint like humans.
- Holonomic omnidirectional mobile robot with wheel-leg mechanisms
- 4 mecanum wheels with gravity-compensated 2-DOF legs
Video Credit: IRIM LAB KOREATECH
#robotics #engineering #technology #robots #roboticengineering #research
--------------------------------
Stay ahead of the curve!
Follow us now on our WhatsApp (https://t.co/YBAHioUWe6) and Telegram (https://t.co/pszbf78JMc) channels and stay updated about the cutting edge.
It is captivating to observe the motion of this parallel robot that is driven by cables. This robot was built by Andrej Rajnoha and is situated at B&R Automation Brno.
Source @gigadgets_
Robison Robotics, which specializes in the production of robotic toys, has developed robots that can physically transform from one shape to another.
Source @gigadgets_
Robots with tentacles! 🐙
SpiRobs are soft robots inspired by nature, designed in the shape of a logarithmic spiral.
They mimic the flexible movements of octopus arms and elephant trunks to grasp objects. 🐘
SpiRobs use simple cables to move, making them easy to control and operate.
They can scale from small to large sizes, ranging from centimeters to meters.
The robots can adapt to different object shapes, improving their grasping ability. A mini version can act as a tiny gripper, while a large version can be mounted on drones.
Interestingly, multiple robots can work together to wrap around and hold large objects.
That's just out of this world! 😮💨
We propose PIVOT: Iterative Visual Prompting, a new visual prompting method to elicit knowledge about action / motion / spatial understanding in VLMs.
For example, we can ask "How should I make a smiley face with the fruits" and our method will generate arrows to guide you.
SpiRobs morphologically replicate the logarithmic spiral that is ubiquitous in natural organisms. They are easy and fast to build across scales via 3D printing. They are actuated by cables, which allow for fast and life-like movements. Besides, a single robot can handle a wide variety of objects (in terms of size, shape, and weight). A key to this is a bioinspired grasping strategy that is found in the octopus. Finally, this work demonstrates a wide range of prototypes, including a miniaturized gripper, a manipulator mounted on a drone, and multi-robot arrays that can grasp in a tendril-like fashion.
Authors: Zhanchi Wang, Nikolaos M. Freris, and Xi Wei
University of Science and Technology of China
Video Credit: https://t.co/OHI6VWPkol
————————————————
Stay ahead of the curve!
Follow more cutting edge robotics content, including research, reports and articles on Wevolver: https://t.co/fK00d04wuw
Bit of a quicker one but here's a Custom Pivot bone tutorial! This is actually so useful yet I rarely see it in rigs. And it's very easy to make
https://t.co/dCMxnlcxkd
A robotic system that could carry packages from delivery vehicles to customers’ doorsteps, doubling the efficiency of human drivers by 2030.
The design fluidly combines two common modes of robot mobility: legs and wheels. The robots’ unique configuration allows them to strategically navigate curbs, stairs and irregular terrain.
Video source: Princeton University Research
#robotics #technology #engineering #stem #innovation #robots
--------------------------------
Stay ahead of the curve!
Follow us now on our WhatsApp (https://t.co/YBAHioUWe6) and Telegram (https://t.co/pszbf78JMc) channels and stay updated about the cutting edge.
Revolute Robotics has presented its autonomous Hybrid Mobility Robot (HMR), a whirling, spherical cage that can fly like a multicopter, or roll in any direction using two gyroscopic gimbal rings.
Video source: Revolute Robotics
#robots#robotics#tech#engineering#gyroscopic
This self-stabilizing robot is highly versatile in logistics and numerous other industries. evoBOT operates autonomously and is built on the concept of an inverted pendulum.
SpiRobs is a soft robotic arm designed with a logarithmic spiral shape, inspired by the natural appendages of octopuses and trunk of an elephant
https://t.co/QTCcevOyMV
Phoenix-based Revolute Robotics has developed a robot that combines drone and rover capabilities, allowing it to conduct inspections in confined spaces.
[📹mecha.bytes]
TWIST: a real-time teleoperation system for humanoid robots to mimic whole-body motions.
Reference motion data is generated by retargeting human motion-capture data to the robot. Then, the controller is trained in simulation using reinforcement learning and behavior cloning.