Show HN: Pos3 – Use S3 with code that expect local files (Python)
Points: 2 | Comments: 1 | Author: vertix
commaai/body
firmware for the comma body robotics dev kit (⭐ 83)
Can a Compact Neuronal Circuit Policy be Re-purposed to Learn Simple Robotic Control?
We propose a neural information processing system which is obtained by re-purposing the function of a biological neural circuit model, to govern simulated and real-world control tasks. Inspired by the structure of the nervous system of the soil-worm,...
Verification of Behavior Trees with Contingency Monitors
Behavior Trees (BTs) are high level controllers that have found use in a wide range of robotics tasks. As they grow in popularity and usage, it is crucial to ensure that the appropriate tools and methods are available for ensuring they work as intend...
MDN-VO: Estimating Visual Odometry with Confidence
Visual Odometry (VO) is used in many applications including robotics and autonomous systems. However, traditional approaches based on feature matching are computationally expensive and do not directly address failure cases, instead relying on heurist...
Elly: A Real-Time Failure Recovery and Data Collection System for Robotic Manipulation
Even the most robust autonomous behaviors can fail. The goal of this research is to both recover and collect data from failures, during autonomous task execution, so they can be prevented in the future. We propose haptic intervention for real-time fa...
About Presso | News, Careers, Investors, Leadership
Presso is an Atlanta-based, AI-robotics company harnessing the power of technology to create the first line of on-demand, low-carbon, express garment care machines.
IRobot Create - Wikipedia
robot manufactured by iRobot that was introduced in 2007 and based on their Roomba vacuum cleaning platform. The iRobot Create is explicitly designed for robotics
Experimental Study of Decentralized Robot Network Coordination
Synchronization and desynchronization in networks is a highly studied topic in many electrical systems, but there is a distinct lack of research on this topic with respect to robotics. Creating an effective decentralized synchronization algorithm for...
Shenzhen Picea Robotics - Wikipedia
(ODM) for several global smart home brands, including SharkNinja and Anker's Eufy. The company was formerly known as Shenzhen 3irobotix Co., Ltd. before rebranding
Benchmarking Simulated Robotic Manipulation through a Real World Dataset
We present a benchmark to facilitate simulated manipulation; an attempt to overcome the obstacles of physical benchmarks through the distribution of a real world, ground truth dataset. Users are given various simulated manipulation tasks with assigne...
Casting Robotic End-effectors To Reach Faraway Moving Objects
In this article we address the problem of catching objects that move at a relatively large distance from the robot, of the order of tens of times the size of the robot itself. To this purpose, we adopt casting manipulation and visual-based feedback c...
Help, Anyone? A User Study For Modeling Robotic Behavior To Mitigate Malfunctions With The…
Service robots for the domestic environment are intended to autonomously provide support for their users. However, state-of-the-art robots still often get stuck in failure situations leading to breakdowns in the interaction flow from which the robot...
Pick and Place Planning is Better than Pick Planning then Place Planning
Robotic pick and place stands at the heart of autonomous manipulation. When conducted in cluttered or complex environments robots must jointly reason about the selected grasp and desired placement locations to ensure success. While several works have...
Leveraging Symmetries in Pick and Place
Robotic pick and place tasks are symmetric under translations and rotations of both the object to be picked and the desired place pose. For example, if the pick object is rotated or translated, then the optimal pick action should also rotate or trans...
Precise Pick-and-Place using Score-Based Diffusion Networks
In this paper, we propose a novel coarse-to-fine continuous pose diffusion method to enhance the precision of pick-and-place operations within robotic manipulation tasks. Leveraging the capabilities of diffusion networks, we facilitate the accurate p...
Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL fo…
Reinforcement learning (RL) for robotics is challenging due to the difficulty in hand-engineering a dense cost function, which can lead to unintended behavior, and dynamical uncertainty, which makes exploration and constraint satisfaction challenging...
SciFi-Benchmark: Leveraging Science Fiction To Improve Robot Behavior
Given the recent rate of progress in artificial intelligence (AI) and robotics, a tantalizing question is emerging: would robots controlled by emerging AI systems be strongly aligned with human values? In this work, we propose a scalable way to probe...
Data-augmented Learning of Geodesic Distances in Irregular Domains through Soner Boundary…
Geodesic distances play a fundamental role in robotics, as they efficiently encode global geometric information of the domain. Recent methods use neural networks to approximate geodesic distances by solving the Eikonal equation through physics-inform...
SpotLight: Robotic Scene Understanding through Interaction and Affordance Detection
Despite increasing research efforts on household robotics, robots intended for deployment in domestic settings still struggle with more complex tasks such as interacting with functional elements like drawers or light switches, largely due to limited...
Pedro-Pathing/PedroPathing
A path follower designed to revolutionize autonomous pathing in robotics (⭐ 153)
AutoRing: Imitation Learning--based Autonomous Intraocular Foreign Body Removal Manipulati…
Intraocular foreign body removal demands millimeter-level precision in confined intraocular spaces, yet existing robotic systems predominantly rely on manual teleoperation with steep learning curves. To address the challenges of autonomous manipulati...
AutoRally An open platform for aggressive autonomous driving
This article presents AutoRally, a 1$:$5 scale robotics testbed for autonomous vehicle research. AutoRally is designed for robustness, ease of use, and reproducibility, so that a team of two people with limited knowledge of mechanical engineering, el...
Secure Robotics: A Definition and a Brief Review from a Cybersecurity Control and Implemen…
Secure robotics is a multi-disciplinary endeavour for improving the cybersecurity posture of robotic and embodied Artificial Intelligence systems. The article surveys emerging concepts and ideas encapsulating the notion of secure robotics and identif...
Divide, Discover, Deploy: Factorized Skill Learning with Symmetry and Style Priors
Unsupervised Skill Discovery (USD) allows agents to autonomously learn diverse behaviors without task-specific rewards. While recent USD methods have shown promise, their application to real-world robotics remains underexplored. In this paper, we pro...
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback
A promising approach to solving challenging long-horizon tasks has been to extract behavior priors (skills) by fitting generative models to large offline datasets of demonstrations. However, such generative models inherit the biases of the underlying...
MOSAIC: A Skill-Centric Algorithmic Framework for Long-Horizon Manipulation Planning
Planning long-horizon manipulation motions using a set of predefined skills is a central challenge in robotics; solving it efficiently could enable general-purpose robots to tackle novel tasks by flexibly composing generic skills. Solutions to this p...
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View
Fine-grained grocery object recognition is an important computer vision problem with broad applications in automatic checkout, in-store robotic navigation, and assistive technologies for the visually impaired. Existing datasets on groceries are mainl...
BLAZER: Bootstrapping LLM-based Manipulation Agents with Zero-Shot Data Generation
Scaling data and models has played a pivotal role in the remarkable progress of computer vision and language. Inspired by these domains, recent efforts in robotics have similarly focused on scaling both data and model size to develop more generalizab...
The search for optical emission on and before the GRB trigger with the WIDGET telescope
WIDGET is a robotic telescope for monitoring the HETE-2 field-of-view to detect Gamma-ray Burst optical flashes or possible optical precursors. The system has 62degx62deg wide field-of-view which covers about 80% of HETE-2 one with a 2kx2k Apogee U...
Token Bottleneck: One Token to Remember Dynamics
Deriving compact and temporally aware visual representations from dynamic scenes is essential for successful execution of sequential scene understanding tasks such as visual tracking and robotic manipulation. In this paper, we introduce Token Bottlen...
Can 'Robots Won't Save Japan' Save Robotics? Reviewing an Ethnography of Eldercare Automat…
Imagine activating new robots meant to aid staff in an elder care facility, only to discover the robots are counterproductive. They undermine the most meaningful moments of the jobs and increase staff workloads, because robots demand care too. Eventu...
ob-f/OpenBot
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomou…
Using smartphones for low-cost robotics
Smartphones and robots can have an adversarial or a symbiotic relationship because they strive to serve overlapping customer needs. While smartphones are prevalent, humanoid robots are not. Even though considerable public and private resources are be...
Exploring Interference between Concurrent Skin Stretches
Proprioception is essential for coordinating human movements and enhancing the performance of assistive robotic devices. Skin stretch feedback, which closely aligns with natural proprioception mechanisms, presents a promising method for conveying pro...
PRM path smoothening by circular arc fillet method for mobile robot navigation
Motion planning and navigation, especially for mobile robots operating in complex navigational environments, has been a central problem since robotics started. A heuristic way to address it is the construction of a graph-based representation (a path)...
Online programming system for robotic fillet welding in Industry 4.0
Fillet welding is one of the most widespread types of welding in the industry, which is still carried out manually or automated by contact. This paper aims to describe an online programming system for noncontact fillet welding robots with U and L sha...
akshetP/robotics-resources
A complete library of resources that caters to all levels of Roboticists. (⭐ 393)
Towards Accessible Robot Control: Comparing Kinesthetic Teaching, SpaceMouse Teleoperation…
Teleoperation interfaces are essential tools for enabling human control of robotic systems. Although a wide range of interfaces has been developed, a persistent gap remains between the level of performance humans can achieve through these interfaces...
11 Best Vacuums of 2026, Tested by Experts - Good Housekeeping
6 days ago · We tested the best vacuums, including cordless, canister and robotic vacuums, for hardwood floors, carpet, furniture, pet hair and dust from Dyson and more.