Robotics

Was this response better or worse?BetterWorseSame It has been said that information theory and machine learning are "two sides of the same coin" because of their close relationship. One exquisite relationship is the fundamental similarity between probabilistic...
Researchers have introduced a cutting-edge framework called MUTEX, short for "MUltimodal Task specification for robot EXecution," aimed at significantly advancing the capabilities of robots in assisting humans. The primary problem they tackle is the limitation of...

Can Low-Cost Quadrupedal Robots Master Parkour? Unveiling a Revolutionary Learning System for Agile Robotic Movement

The quest to make robots perform complex physical tasks, such as navigating challenging environments, has been a long-standing challenge in robotics. One of the...

Meet PhysObjects: An Object-Centric Dataset of 36.9K Crowd-Sourced and 417K Automated Physical Concept Annotations of Common Household Objects

In the real world, information is often conveyed through a combination of text images or videos. To understand and interact with this information effectively,...

How Can Robots Make Better Decisions? MIT and Stanford Researchers Introduce Diffusion-CCSP for Advanced Robotic Reasoning and Planning

The capacity to choose continuous values, such as grasps and object placements, that satisfy complicated geometric and physical constraints, like stability and lack of...

MIT Researchers Developed an Artificial Intelligence (AI) Technique that Enables a Robot to Develop Complex Plans for Manipulating an Object Using its Entire Hand

Whole-body manipulation is a strength of humans but a weakness of robots. The robot interprets each possible contact point between the box and the...

Watch and Learn Little Robot: This AI Approach Teaches Robots Generalizable Manipulation Using Human Video Demonstrations

Robots have always been at the center of attention in the tech landscape. They always found a place in sci-fi movies, kid shows, books,...

Meer Pyrus Base: A New Open-Source Python-Based Platform for the Two-Dimensional (2D) Simulation of RoboCup Soccer

Robotics, the branch which is completely dedicated to the field of Electronics and Computer Science Engineering is now being connected to Artificial Intelligence for...

MIT and Harvard Researchers Propose (FAn): A Comprehensive AI System that Bridges the Gap between SOTA Computer Vision and Robotic Systems- Providing an End-to-End...

In a new AI research, a team of MIT and Harvard University researchers has introduced a groundbreaking framework called "Follow Anything" (FAn). The system...

CMU Researchers Developed a Simple Distance Learning AI Method to Transfer Visual Priors to Robotics Tasks: Improving Policy Learning by 20% Over Baselines

A significant barrier to progress in robot learning is the dearth of sufficient, large-scale data sets. Data sets in robotics have issues with being...

Google DeepMind Researchers Introduce RT-2: A Novel Vision-Language-Action (VLA) Model that Learns from both Web and Robotics Data and Turns it into Action

Large language models can enable fluent text generation, emergent problem-solving, and creative generation of prose and code. In contrast, vision-language models enable open-vocabulary visual...

Meet RoboPianist: A New Benchmarking Suite for High-Dimensional Control in Piano Mastery with Simulated Robot Hands

The gauging process in the domains of control and reinforcement learning advance is quite challenging. A particularly underserved area has been robust benchmarks that...

Researchers from MIT and UC Berkeley introduced a framework that enables humans to quickly teach a robot what they want it to do with a minimal...

In collaboration with New York University and the University of California at Berkeley, researchers from MIT have devised a groundbreaking framework that empowers humans...

Researchers from Columbia University and Deepmind Introduce GPAT: A Transformer-Based Model Architecture that Accurately Predicts Part Poses by Inferring How Each Part Shape Corresponds...

Autonomous robotic systems capable of assembling new objects through visuospatial reasoning hold great potential for a broad range of real-world applications. Despite remarkable advancements...

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