[HTML][HTML] Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives
Abstract Human–Robot Collaboration (HRC) has a pivotal role in smart manufacturing for
strict requirements of human-centricity, sustainability, and resilience. However, existing HRC …
strict requirements of human-centricity, sustainability, and resilience. However, existing HRC …
A review of deep reinforcement learning approaches for smart manufacturing in industry 4.0 and 5.0 framework
A del Real Torres, DS Andreiana, Á Ojeda Roldán… - Applied Sciences, 2022 - mdpi.com
In this review, the industry's current issues regarding intelligent manufacture are presented.
This work presents the status and the potential for the I4. 0 and I5. 0's revolutionary …
This work presents the status and the potential for the I4. 0 and I5. 0's revolutionary …
Motion planning diffusion: Learning and planning of robot motions with diffusion models
Learning priors on trajectory distributions can help accelerate robot motion planning
optimization. Given previously successful plans, learning trajectory generative models as …
optimization. Given previously successful plans, learning trajectory generative models as …
A Machine Learning approach for collision avoidance and path planning of mobile robot under dense and cluttered environments
In this paper, a novel approach based on Machine Learning (ML) concept, ie, the Adaptive
Stochastic Gradient Descent Linear Regression (ASGDLR) algorithm, is developed to …
Stochastic Gradient Descent Linear Regression (ASGDLR) algorithm, is developed to …
Using deep learning to bootstrap abstractions for hierarchical robot planning
N Shah, S Srivastava - arXiv preprint arXiv:2202.00907, 2022 - arxiv.org
This paper addresses the problem of learning abstractions that boost robot planning
performance while providing strong guarantees of reliability. Although state-of-the-art …
performance while providing strong guarantees of reliability. Although state-of-the-art …
Feature selection-based decision model for UAV path planning on rough terrains
Path planning and obstacle avoidance in 3D terrain have been identified as a monumental
challenge for a UAV in a variety of autonomous missions, such as disaster management …
challenge for a UAV in a variety of autonomous missions, such as disaster management …
Energy-efficient realtime motion planning
Motion planning is a fundamental problem in autonomous robotics with real-time and low-
energy requirements for safe navigation through a dynamic environment. More than 90% of …
energy requirements for safe navigation through a dynamic environment. More than 90% of …
[HTML][HTML] 3D building interior modelling for navigation in emergency response applications
The aim of this paper is to present a broad perspective on applications dealing with 3D
building models and indoor navigation during an emergency. This is an immense topic …
building models and indoor navigation during an emergency. This is an immense topic …
The internet of modular robotic things: Issues, limitations, challenges, & solutions
The world is becoming more digitized with the rise of modular robotic systems. Therefore,
with the increasing demands and needs for robotics, the modular robotic domain was …
with the increasing demands and needs for robotics, the modular robotic domain was …
A Novel Sampling-Based Optimal Motion Planning Algorithm for Energy-Efficient Robotic Pick and Place
Energy usage in robotic applications is rapidly increasing as industrial robot installations
grow. This research introduces a novel approach, using the rapidly exploring random tree …
grow. This research introduces a novel approach, using the rapidly exploring random tree …