In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Applications are invited for recruitment of nine vacant teaching and non-teaching positions or career in TRTC Guwahati Assam in 2026. Tool Roo ...

There was a time when celebrities were integrated more deeply into brand narratives, inhabiting distinct brand worlds rather ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate ...

Software-defined radio is transforming test and measurement by replacing rigid hardware with adaptable software, enabling ...

Implement a second-order algorithm for kinematic inversion with Jacobian inverse along a given trajectory using Euler integration with a time step of 1 ms. Part 2: Kinematic Inversion with Jacobian ...

Celebrity-led advertising in India has become a predictable dance: star walks in, camera follows, product appears, logo exits. Rinse and repeat ...

The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort ...

When you create an algorithm, you need to include precise, step-by-step instructions. This means you will need to break down the task or problem into smaller steps. We call this process decomposition.

This WSJ video investigation reveals how the video-centric social network is so good at figuring out interests you never expressly tell it.

Start by setting the counter to the middle position in the list. If the value held there is a match, the search ends. If the value at the midpoint is less than the value to be found, the list is ...

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...