Robot or human?
Robot or human?
Robot or human?
Robot or human?
Robot or human?
Robot or human?
Robot or human?
BURG-Toolkit: Robot Grasping Experiments in Simulation and the Real World
This paper presents BURG-Toolkit, a set of open-source tools for Benchmarking and Understanding Robotic Grasping. Our tools allow researchers to: (1) create virtual scenes for generating training data and performing grasping in simulation; (2) recrea...
Potential Based Diffusion Motion Planning
Effective motion planning in high dimensional spaces is a long-standing open problem in robotics. One class of traditional motion planning algorithms corresponds to potential-based motion planning. An advantage of potential based motion planning is c...
A Chinese hospital now uses a blood-drawing robot that hits veins with 94% sniper precisio…
(Not my OC)...
"Fuck all liberals...They think they know what’s good for the country and live in a false…
Source: https://www.reddit.com/r/complaints/comments/1lr4xxb/fuck_every_conservative/ **HIGHLIGHTS** [Guys according to OP’s dissertation written behind rage tears, were the emotional ones?.](h...
Show HN: ChatClue, Natural audio/video communication with computers and robots
Points: 2 | Comments: 0 | Author: someguynet
Wirecutter - The New York Times Company
Our extensive testing process involves weeks or months of research, combining expert insights and consumer feedback. From creating obstacle courses for robot vacuums to fireproof safe tests, we …
Primech AI, Subsidiary of Primech Holdings Wins Robotics Category at Singapore Business Re…
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Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
Pretraining on noisy, internet-scale datasets has been heavily studied as a technique for training models with broad, general capabilities for text, images, and other modalities. However, for many sequential decision domains such as robotics, video g...
Naturalistic stimuli in touch research
Neural mechanisms of touch are typically studied in laboratory settings using robotic or other types of well-controlled devices. Such stimuli are very different from highly complex naturalistic human-to-human touch interactions. The lack of scientifi...
Wonderful Team: Zero-Shot Physical Task Planning with Visual LLMs
We introduce Wonderful Team, a multi-agent Vision Large Language Model (VLLM) framework for executing high-level robotic planning in a zero-shot regime. In our context, zero-shot high-level planning means that for a novel environment, we provide a VL...
Wirecutter - The New York Times Company
Our extensive testing process involves weeks or months of research, combining expert insights and consumer feedback. From creating obstacle courses for robot vacuums to fireproof safe tests, we …
Wirecutter - The New York Times Company
Our extensive testing process involves weeks or months of research, combining expert insights and consumer feedback. From creating obstacle courses for robot vacuums to fireproof safe tests, we …
Glasgow's Stereo Image Database of Garments
To provide insight into cloth perception and manipulation with an active binocular robotic vision system, we compiled a database of 80 stereo-pair colour images with corresponding horizontal and vertical disparity maps and mask annotations, for 3D ga...
PDF-HR: Pose Distance Fields for Humanoid Robots
Pose and motion priors play a crucial role in humanoid robotics. Although such priors have been widely studied in human motion recovery (HMR) domain with a range of models, their adoption for humanoid robots remains limited, largely due to the scarci...
Automation and AI Technology in Surface Mining With a Brief Introduction to Open-Pit Opera…
This survey article provides a synopsis on some of the engineering problems, technological innovations, robotic development and automation efforts encountered in the mining industry -- particularly in the Pilbara iron-ore region of Western Australia....
Catch It! Learning to Catch in Flight with Mobile Dexterous Hands
Catching objects in flight (i.e., thrown objects) is a common daily skill for humans, yet it presents a significant challenge for robots. This task requires a robot with agile and accurate motion, a large spatial workspace, and the ability to interac...
Semantic speech retrieval with a visually grounded model of untranscribed speech
There is growing interest in models that can learn from unlabelled speech paired with visual context. This setting is relevant for low-resource speech processing, robotics, and human language acquisition research. Here we study how a visually grounde...
Shadow: Leveraging Segmentation Masks for Cross-Embodiment Policy Transfer
Data collection in robotics is spread across diverse hardware, and this variation will increase as new hardware is developed. Effective use of this growing body of data requires methods capable of learning from diverse robot embodiments. We consider...
Implementing Lego Agents Using Jason
Since many of the currently available multi-agent frameworks are generally mostly intended for research, it can be difficult to built multi-agent systems using physical robots. In this report I describe a way to combine the multi-agent framework Jaso...
Creating an African American-Sounding TTS: Guidelines, Technical Challenges,and Surprising…
Representations of AI agents in user interfaces and robotics are predominantly White, not only in terms of facial and skin features, but also in the synthetic voices they use. In this paper we explore some unexpected challenges in the representation...
A peristaltic soft, wearable robot for compression and massage therapy
Soft robotics is attractive for wearable applications that require conformal interactions with the human body. Soft wearable robotic garments hold promise for supplying dynamic compression or massage therapies, such as are applied for disorders affec...
Shaking Force Balancing of the Orthoglide
The shaking force balancing is a well-known problem in the design of high-speed robotic systems because the variable dynamic loads cause noises, wear and fatigue of mechanical structures. Different solutions, for full or partial shaking force balanci...
Kawaii Game Vocalics: A Preliminary Model
Kawaii is the Japanese concept of cute++, a global export with local characteristics. Recent work has explored kawaii as a feature of user experience (UX) with social robots, virtual characters, and voice assistants, i.e., kawaii vocalics. Games have...
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data
While large-scale sequence modeling from offline data has led to impressive performance gains in natural language and image generation, directly translating such ideas to robotics has been challenging. One critical reason for this is that uncurated r...
Artificial intelligence (AI) | Definition, Examples, Types ...
21 hours ago · artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.
Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making
A fundamental challenge in manipulating fabric for clothes folding and textiles manufacturing is computing "pick points" to effectively modify the state of an uncertain manifold. We present a supervised deep transfer learning approach to locate pick...
Learning Humanoid Standing-up Control across Diverse Postures
Standing-up control is crucial for humanoid robots, with the potential for integration into current locomotion and loco-manipulation systems, such as fall recovery. Existing approaches are either limited to simulations that overlook hardware constrai...
China’s Unitree Robotics showcases eerily lifelike robot kung-fu ...
Feb 17, 2026 · Improvements to the AI that powers Unitree's H2 and G1 humanoid robots, alongside mechanical upgrades, have resulted in a dazzling kung-fu demonstration.
A neural blueprint for human-like intelligence in soft robots
Feb 19, 2026 · A new soft robotic arm can safely operate close to the human body without causing discomfort or injury. The AI control system is well-suited for assistive scenarios like showering, where …
MIT researchers “speak objects into existence” using AI and robotics
Dec 5, 2025 · MIT researchers at the School of Architecture and Planning developed a speech-to-reality system that combines generative AI, natural language processing, and robotic assembly to fabricate …
Robotics | MIT News | Massachusetts Institute of Technology
Feb 19, 2026 · Vine-inspired robotic gripper gently lifts heavy and fragile objects The new design could be adapted to assist the elderly, sort warehouse products, or unload heavy cargo.
Robot facts
Apr 30, 2025 · 5 fun facts about robots The definition of robotics is older than actual robots. In fact, the ancient Greek writer Homer described "intelligent machines" such as wheeled tripod machines in …