Watch M3GAN | Prime Video - amazon.com
M3GAN, A roboticist working on a life-like toy android named M3GAN takes in her orphaned niece. She pairs the two up, trying to solve for both issues...and it does not go as planned. Rentals include 30 …
MΞGAN | M3GAN Wiki | Fandom
Gemma, a brilliant roboticist at a toy company, uses artificial intelligence to develop M3GAN (short for Model 3 Generative Android), a life-like doll programmed to be a child's greatest companion and a …
M3GAN - official trailer - YouTube
Designed by brilliant toy-company roboticist Gemma (Get Out’s Allison Williams), M3GAN can listen and watch and learn as she becomes friend and teacher, playmate and protector, for the child she is...
NASA Internship Programs
1 day ago · Discover exciting internships and research opportunities at the leading center for robotic exploration of the solar system. An internship at NASA’s Jet Propulsion Laboratory is a chance to do …
GrandTour: A Legged Robotics Dataset in the Wild for Multi-Modal Perception and State Esti…
Accurate state estimation and multi-modal perception are prerequisites for autonomous legged robots in complex, large-scale environments. To date, no large-scale public legged-robot dataset captures the real-world conditions needed to develop and ben...
Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets
Autonomous Driving (AD), the area of robotics with the greatest potential impact on society, has gained a lot of momentum in the last decade. As a result of this, the number of datasets in AD has increased rapidly. Creators and users of datasets can...
Restorebot: Towards an Autonomous Robotics Platform for Degraded Rangeland Restoration
Degraded rangelands undergo continual shifts in the appearance and distribution of plant life. The nature of these changes however is subtle: between seasons seedlings sprout up and some flourish while others perish, meanwhile, over multiple seasons...
davidsanfal/drakkar
Printable robotic prosthetic leg (⭐ 39)
Genesis-Embodied-AI/Genesis
A generative world for general-purpose robotics & embodied AI learning. (⭐ 28231)
Jasmine: A Simple, Performant and Scalable JAX-based World Modeling Codebase
While world models are increasingly positioned as a pathway to overcoming data scarcity in domains such as robotics, open training infrastructure for world modeling remains nascent. We introduce Jasmine, a performant JAX-based world modeling codebase...
Self-Centering 3-DoF Feet Controller for Hands-Free Locomotion Control in Telepresence and…
We present a novel seated feet controller for handling 3-DoF aimed to control locomotion for telepresence robotics and virtual reality environments. Tilting the feet on two axes yields in forward, backward and sideways motion. In addition, a separate...
Soft Adaptive Feet for Legged Robots: An Open-Source Model for Locomotion Simulation
In recent years, artificial feet based on soft robotics and under-actuation principles emerged to improve mobility on challenging terrains. This paper presents the application of the MuJoCo physics engine to realize a digital twin of an adaptive soft...
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
We are motivated by the goal of generalist robots that can complete a wide range of tasks across many environments. Critical to this is the robot's ability to acquire some metric of task success or reward, which is necessary for reinforcement learnin...
Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames
Behavioral cloning is a simple yet effective technique for learning sequential decision-making from demonstrations. Recently, it has gained prominence as the core of foundation models for the physical world, where achieving generalization requires co...
SPARK: Sim-ready Part-level Articulated Reconstruction with VLM Knowledge
Articulated 3D objects are critical for embodied AI, robotics, and interactive scene understanding, yet creating simulation-ready assets remains labor-intensive and requires expert modeling of part hierarchies and motion structures. We introduce SPAR...
An energy-based material model for the simulation of shape memory alloys under complex bou…
Shape memory alloys are remarkable 'smart' materials used in a broad spectrum of applications, ranging from aerospace to robotics, thanks to their unique thermomechanical coupling capabilities. Given the complex properties of shape memory alloys, whi...
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from…
We propose a technique for multi-task learning from demonstration that trains the controller of a low-cost robotic arm to accomplish several complex picking and placing tasks, as well as non-prehensile manipulation. The controller is a recurrent neur...
Learning Keypoints for Robotic Cloth Manipulation using Synthetic Data
Assistive robots should be able to wash, fold or iron clothes. However, due to the variety, deformability and self-occlusions of clothes, creating robot systems for cloth manipulation is challenging. Synthetic data is a promising direction to improve...
RaggeDi: Diffusion-based State Estimation of Disordered Rags, Sheets, Towels and Blankets
Cloth state estimation is an important problem in robotics. It is essential for the robot to know the accurate state to manipulate cloth and execute tasks such as robotic dressing, stitching, and covering/uncovering human beings. However, estimating...
An information model for modular robots: the Hardware Robot Information Model (HRIM)
Today's landscape of robotics is dominated by vertical integration where single vendors develop the final product leading to slow progress, expensive products and customer lock-in. Opposite to this, an horizontal integration would result in a rapid d...