Architectural spatial layout planning using artificial intelligence

J Ko, B Ennemoser, W Yoo, W Yan… - Automation in Construction, 2023 - Elsevier
Spatial layout planning in architecture requires a deep understanding of topological spatial
relationships, yet the process remains repetitive and laborious for designers. However …

Pedestrian behavior prediction using deep learning methods for urban scenarios: A review

C Zhang, C Berger - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
The prediction of pedestrian behavior is essential for automated driving in urban traffic and
has attracted increasing attention in the vehicle industry. This task is challenging because …

Learning latent representations to influence multi-agent interaction

A Xie, D Losey, R Tolsma, C Finn… - Conference on robot …, 2021 - proceedings.mlr.press
Seamlessly interacting with humans or robots is hard because these agents are non-
stationary. They update their policy in response to the ego agent's behavior, and the ego …

[HTML][HTML] Futures of artificial intelligence through technology readiness levels

F Martínez-Plumed, E Gómez… - Telematics and …, 2021 - Elsevier
Artificial Intelligence (AI) offers the potential to transform our lives in radical ways. However,
the main unanswered questions about this foreseen transformation are its depth, breadth …

Facilitating human–robot collaborative tasks by teaching-learning-collaboration from human demonstrations

W Wang, R Li, Y Chen, ZM Diekel… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Collaborative robots are widely employed in strict hybrid assembly tasks involved in
intelligent manufacturing. In this paper, we develop a teaching-learning-collaboration (TLC) …

Computational human-robot interaction

A Thomaz, G Hoffman, M Cakmak - Foundations and Trends® …, 2016 - nowpublishers.com
We present a systematic survey of computational research in humanrobot interaction (HRI)
over the past decade. Computational HRI is the subset of the field that is specifically …

Pedestrian detection combining RGB and dense LIDAR data

C Premebida, J Carreira, J Batista… - 2014 IEEE/RSJ …, 2014 - ieeexplore.ieee.org
Why is pedestrian detection still very challenging in realistic scenes? How much would a
successful solution to monocular depth inference aid pedestrian detection? In order to …

Designing human-agent collaborations: Commitment, responsiveness, and support

N Cila - Proceedings of the 2022 CHI Conference on Human …, 2022 - dl.acm.org
With the advancements in AI, agents (ie, smart products, robots, software agents) are
increasingly capable of working closely together with humans in a variety of ways while …

A taxonomy of social errors in human-robot interaction

L Tian, S Oviatt - ACM Transactions on Human-Robot Interaction (THRI), 2021 - dl.acm.org
Robotic applications have entered various aspects of our lives, such as health care and
educational services. In such Human-robot Interaction (HRI), trust and mutual adaption are …

May I help you? Design of human-like polite approaching behavior

Y Kato, T Kanda, H Ishiguro - Proceedings of the Tenth Annual ACM …, 2015 - dl.acm.org
When should service staff initiate interaction with a visitor? Neither simply-proactive (eg talk
to everyone in a sight) nor passive (eg wait until being talked to) strategies are desired. This …