The research challenges the idea that more diverse training data always leads to better robot learning.NYU Center for Robotics and Embodied Intelligence Teaching robots to manipulate objects with ...

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 ...

The concept of this toolbox is a hierachy of dynamic system objects, from the most generic representation (any non-linear differential equations) to more system specific representations such as ...

Abstract: This paper presents a new approach for fast collision detection in high dimensional configuration spaces for Rapidly-exploring Random Trees (RRT) motion planning. The proposed method is ...

Self-supervised learning (SSL) has emerged as a powerful approach for learning meaningful representations from large-scale unlabelled datasets in single-cell genomics. Richter et al. evaluated SSL ...

Why you can trust Digital Camera World Our expert reviewers spend hours testing and comparing products and services so you can choose the best for you. Find out how we test. As a long-time drone ...

SINGAPORE – The weatherman in early February declared the onset of La Nina, a climate phenomenon that often brings rain and cooler weather to Singapore. But the cooling effect will not be as ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Natural products contain chemical compounds with limited availability in nature but ...

SINGAPORE – Relying heavily on texting to connect with others during the Covid-19 pandemic piqued Mr Alexander Tsai’s interest in artificial intelligence (AI), sparking a passion he has carried into ...

Today’s society is characterized by change, and sometimes the constant changes come at a rate difficult to assimilate. We have very little time to reorganize our cognitive schemes and adapt our ...

Abstract: This paper proposes a rapidly-exploring random trees (RRT) algorithm to solve the motion planning problem for hybrid systems. At each iteration, the proposed algorithm, called HyRRT, ...

With the advance in algorithms, deep reinforcement learning (DRL) offers solutions to trajectory planning under uncertain environments. Different from traditional ...