[HTML][HTML] Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues

A Gupta, A Anpalagan, L Guan, AS Khwaja - Array, 2021 - Elsevier
This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …

Embodied neuromorphic intelligence

C Bartolozzi, G Indiveri, E Donati - Nature communications, 2022 - nature.com
The design of robots that interact autonomously with the environment and exhibit complex
behaviours is an open challenge that can benefit from understanding what makes living …

2022 roadmap on neuromorphic computing and engineering

DV Christensen, R Dittmann… - Neuromorphic …, 2022 - iopscience.iop.org
Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

[HTML][HTML] Robotics and automated systems in construction: Understanding industry-specific challenges for adoption

JMD Delgado, L Oyedele, A Ajayi, L Akanbi… - Journal of building …, 2019 - Elsevier
The construction industry is a major economic sector, but it is plagued with inefficiencies and
low productivity. Robotics and automated systems have the potential to address these …

[HTML][HTML] Human–robot collaboration in industrial environments: A literature review on non-destructive disassembly

S Hjorth, D Chrysostomou - Robotics and Computer-Integrated …, 2022 - Elsevier
Nowadays, numerous companies and industries introduce recycling processes in their
production, aiming to increase the sustainable use of the planet's natural resources …

Leading teams in the digital age: Four perspectives on technology and what they mean for leading teams

L Larson, LA DeChurch - The leadership quarterly, 2020 - Elsevier
Digital technologies are changing the nature of teamwork in ways that have important
implications for leadership. Though conceptually rich and multi-disciplinary, much of the …

Trends and challenges in robot manipulation

A Billard, D Kragic - Science, 2019 - science.org
BACKGROUND Humans have a fantastic ability to manipulate objects of various shapes,
sizes, and materials and can control the objects' position in confined spaces with the …

Improved trust in human-robot collaboration with ChatGPT

Y Ye, H You, J Du - IEEE Access, 2023 - ieeexplore.ieee.org
Human-robot collaboration is becoming increasingly important as robots become more
involved in various aspects of human life in the era of Artificial Intelligence. However, the …

Human–robot collaboration in construction: Classification and research trends

CJ Liang, X Wang, VR Kamat… - Journal of Construction …, 2021 - ascelibrary.org
Construction robots continue to be increasingly deployed on construction sites to assist
human workers in various tasks to improve safety, efficiency, and productivity. Due to the …

Dynamic movement primitives in robotics: A tutorial survey

M Saveriano, FJ Abu-Dakka… - … Journal of Robotics …, 2023 - journals.sagepub.com
Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …