Architectural spatial layout planning using artificial intelligence
Spatial layout planning in architecture requires a deep understanding of topological spatial
relationships, yet the process remains repetitive and laborious for designers. However …
relationships, yet the process remains repetitive and laborious for designers. However …
Pedestrian behavior prediction using deep learning methods for urban scenarios: A review
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 …
has attracted increasing attention in the vehicle industry. This task is challenging because …
Learning latent representations to influence multi-agent interaction
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 …
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 …
the main unanswered questions about this foreseen transformation are its depth, breadth …
Facilitating human–robot collaborative tasks by teaching-learning-collaboration from human demonstrations
Collaborative robots are widely employed in strict hybrid assembly tasks involved in
intelligent manufacturing. In this paper, we develop a teaching-learning-collaboration (TLC) …
intelligent manufacturing. In this paper, we develop a teaching-learning-collaboration (TLC) …
Computational human-robot interaction
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 …
over the past decade. Computational HRI is the subset of the field that is specifically …
Pedestrian detection combining RGB and dense LIDAR data
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 …
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 …
increasingly capable of working closely together with humans in a variety of ways while …
A taxonomy of social errors in human-robot interaction
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 …
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 …
to everyone in a sight) nor passive (eg wait until being talked to) strategies are desired. This …