Best Vacuums of 2026, Lab-Tested and Reviewed - Consumer Reports
Jan 1, 2026 · We review the best vacuums you can buy right now—upright, canister, stick, robotic, and handheld—based on our tough lab tests.
Pour me a drink: Robotic Precision Pouring Carbonated Beverages into Transparent Container…
With the growing emphasis on the development and integration of service robots within household environments, we will need to endow robots with the ability to reliably pour a variety of liquids. However, liquid handling and pouring is a challenging t...
Robotic Optimization of Powdered Beverages Leveraging Computer Vision and Bayesian Optimiz…
The growing demand for innovative research in the food industry is driving the adoption of robots in large-scale experimentation, as it offers increased precision, replicability, and efficiency in product manufacturing and evaluation. To this end, we...
Exploring the Effect of Robotic Embodiment and Empathetic Tone of LLMs on Empathy Elicitat…
This study investigates the elicitation of empathy toward a third party through interaction with social agents. Participants engaged with either a physical robot or a voice-enabled chatbot, both driven by a large language model (LLM) programmed to ex...
Rearrangement Planning for General Part Assembly
Most successes in autonomous robotic assembly have been restricted to single target or category. We propose to investigate general part assembly, the task of creating novel target assemblies with unseen part shapes. As a fundamental step to a general...
huggingface/lerobot
? LeRobot: Making AI for Robotics more accessible with end-to-end learning (⭐ 22092)
andyzeng/visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning. (⭐ 1086)
Towards a Privacy-preserving Deep Learning-based Network Intrusion Detection in Data Distr…
Data Distribution Service (DDS) is an innovative approach towards communication in ICS/IoT infrastructure and robotics. Being based on the cross-platform and cross-language API to be applicable in any computerised device, it offers the benefits of mo...
UniMoGen: Universal Motion Generation
Motion generation is a cornerstone of computer graphics, animation, gaming, and robotics, enabling the creation of realistic and varied character movements. A significant limitation of existing methods is their reliance on specific skeletal structure...
QuirkyCort/gears
Generic Educational Robotics Simulator (⭐ 85)
One Policy to Dress Them All: Learning to Dress People with Diverse Poses and Garments
Robot-assisted dressing could benefit the lives of many people such as older adults and individuals with disabilities. Despite such potential, robot-assisted dressing remains a challenging task for robotics as it involves complex manipulation of defo...
Opportunity (rover) - Wikipedia
Opportunity, also known as MER-B (Mars Exploration Rover – B) or MER-1, and nicknamed Oppy, is a robotic rover that was active on Mars from 2004 until
BRACU Mongol Tori: Next Generation Mars Exploration Rover
BRAC University (BRACU) has participated in the University Rover Challenge (URC), a robotics competition for university level students organized by the Mars Society to design and build a rover that would be of use to early explorers on Mars. BRACU ha...
Agonist-Antagonist Pouch Motors: Bidirectional Soft Actuators Enhanced by Thermally Respon…
In this study, we introduce a novel Mylar-based pouch motor design that leverages the reversible actuation capabilities of Peltier junctions to enable agonist-antagonist muscle mimicry in soft robotics. Addressing the limitations of traditional silic...
GI-NNet \& RGI-NNet: Development of Robotic Grasp Pose Models, Trainable with Large as wel…
Our way of grasping objects is challenging for efficient, intelligent and optimal grasp by COBOTs. To streamline the process, here we use deep learning techniques to help robots learn to generate and execute appropriate grasps quickly. We developed a...
The $10 Million ANA Avatar XPRIZE Competition Advanced Immersive Telepresence Systems
The $10M ANA Avatar XPRIZE aimed to create avatar systems that can transport human presence to remote locations in real time. The participants of this multi-year competition developed robotic systems that allow operators to see, hear, and interact wi...
Analysis and Perspectives on the ANA Avatar XPRIZE Competition
The ANA Avatar XPRIZE was a four-year competition to develop a robotic "avatar" system to allow a human operator to sense, communicate, and act in a remote environment as though physically present. The competition featured a unique requirement that j...
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
A vast literature shows that the learning-based visual perception model is sensitive to adversarial noises, but few works consider the robustness of robotic perception models under widely-existing camera motion perturbations. To this end, we study th...
Deep Learning for Camera Calibration and Beyond: A Survey
Camera calibration involves estimating camera parameters to infer geometric features from captured sequences, which is crucial for computer vision and robotics. However, conventional calibration is laborious and requires dedicated collection. Recent...
AngelLM/Thor
DIY 3D Printable Robotic Arm (⭐ 1387)
LIEREx: Language-Image Embeddings for Robotic Exploration
Semantic maps allow a robot to reason about its surroundings to fulfill tasks such as navigating known environments, finding specific objects, and exploring unmapped areas. Traditional mapping approaches provide accurate geometric representations but...
Force Push: Robust Single-Point Pushing with Force Feedback
We present a controller for quasistatic robotic planar pushing with single-point contact using only force feedback to sense the pushed object. We consider an omnidirectional mobile robot pushing an object (the "slider") along a given path, where the...
More than a Million Ways to Be Pushed: A High-Fidelity Experimental Dataset of Planar Push…
Pushing is a motion primitive useful to handle objects that are too large, too heavy, or too cluttered to be grasped. It is at the core of much of robotic manipulation, in particular when physical interaction is involved. It seems reasonable then to...
Uncertainty-aware Risk Assessment of Robotic Systems via Importance Sampling
In this paper, we introduce a probabilistic approach to risk assessment of robot systems by focusing on the impact of uncertainties. While various approaches to identifying systematic hazards (e.g., bugs, design flaws, etc.) can be found in current l...
msubzero2000/project-ellee-public
Using an object detection and facial recognition system built on MobileNetSSDV2 and Dlib and running on an NVIDIA Jetson Nano, a GPT-3 model, Google Speech Recognition, Amazon Polly and servo motors, I built Ellee - a robotic teddy bear who can move her head and converse naturall…
ondrejbiza/action_priors
Source code for Action Priors for Large Action Spaces in Robotics. Biza, Wang, Platt, van de Meent, Wong. AAMAS'21. (⭐ 10)
First Lessons Learned of an Artificial Intelligence Robotic System for Autonomous Coarse W…
Current disposal facilities for coarse-grained waste perform manual sorting of materials with heavy machinery. Large quantities of recyclable materials are lost to coarse waste, so more effective sorting processes must be developed to recover them. T...
Teaching Robots to Handle Nuclear Waste: A Teleoperation-Based Learning Approach<
This paper presents a Learning from Teleoperation (LfT) framework that integrates human expertise with robotic precision to enable robots to autonomously perform skills learned from human operators. The proposed framework addresses challenges in nucl...
Dual-Arm Telerobotic Platform for Robotic Hotbox Operations for Nuclear Waste Disposition…
This paper introduces a dual-arm telerobotic platform designed to efficiently and safely execute hot cell operations for nuclear waste disposition at EM sites. The proposed system consists of a remote robot arm platform and a teleoperator station, bo...
Mechanical Engineering Forum - Physics Forums
Jul 22, 2009 · Join the expert discussion on mechanical engineering topics. This can include topics like the development of machines. Mechatronics, Robotics, Engines, Drafting etc.
bulletphysics/bullet3
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc. (⭐ 14273)
paulmorrishill/armour
Open source robotic arm control. (⭐ 30)
A Memory System of a Robot Cognitive Architecture and its Implementation in ArmarX
Cognitive agents such as humans and robots perceive their environment through an abundance of sensors producing streams of data that need to be processed to generate intelligent behavior. A key question of cognition-enabled and AI-driven robotics is...
RobotLocomotion/director
A robotics interface and visualization framework, with extensive applications for working with http://drake.mit.edu (⭐ 194)
WillGrayMSU/SECON-2016
The repository for the 2016 Mississippi State University SECON Robotics Team (⭐ 1)
M3GAN - official trailer 2 - 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...
M3GAN (2022) - Plot - IMDb
Gemma is a robotics engineer at an electronics company. She has built a life-like robotic doll, M3gan, and, to trial the effectiveness of the doll, she takes M3gan home to live with her and her niece, Cady. …
Watch M3GAN | Netflix
When a roboticist tests the lifelike companion doll she's invented on her orphaned niece, the android soon takes her childcare duties deadly seriously. Watch trailers & learn more.
M3GAN | Rotten Tomatoes
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...
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 …