Teaching robots to manipulate objects with humanlike dexterity has long been one of robotics’ toughest challenges. Tasks such as rotating an object in-hand or coordinating two robot arms to maneuver a ...

description [ICLR 2026][Reinforcement Learning][game theory] This paper formalizes LLM jailbreaking attack-defense interactions as a dynamic Stackelberg extensive-form game… This paper formalizes LLM ...

Humans often use one hand to grasp the branch for better accessibility, while the other hand is used to perform primary tasks like (a) branch pruning and (b) hand pollination of the flower. (c) An ...

Abstract: The Rapidly-exploring Random Tree (RRT) is a classic path planning commonly used for navigating high-dimensional spaces. It explores unknown environments by incrementally expanding a tree ...

Watch as a variety of art markers are activated and tested, revealing a range of colors and creative possibilities. This video showcases different art supplies in action, inviting viewers to see the ...

The subject of this article is the development of an unmanned surface vehicle (USV) for the removal of floating debris. A twin-hulled boat with four thrusters placed at the corners of the vessel is ...

For the low efficiency and poor generalization ability of path planning algorithm of industrial robots, this work proposes an adaptive field co-sampling algorithm (AFCS). Firstly, the environment ...

In this video, we explore why Spotify's shuffle feature isn't truly random and operates based on an algorithm. We discuss the reasons behind our preferences for non-random shuffle, the results of an ...

“It feels like I’m at a bougie store, but I’m not paying bougie prices,” one shopper said of the discount grocer, which is set to open hundreds of stores as consumers look to save and buy organic. By ...