58 citations · 138 across the 11 of their papers we have counts for
11 papers
Robotic capabilities framework: A boundary object and intermediate-level knowledge artifact for co-designing robotic processes
Alessandro Ianniello, Dave Murray-Rust, Sara Muscolo +6
As robots become more adaptable, responsive, and capable of interacting with humans, the design of effective human-robot collaboration becomes critical. Yet, this design process is…
Achieving Meaningful Collaboration: Worker-centered Design of a Physical Human-Robot Collaborative Blending Task
Nicky Mol, Luka Peternel, Alessandro Ianniello +9
The use of robots in industrial settings continues to grow, driven by the need to address complex societal challenges such as labor shortages, aging populations, and ever-increasin…
Can a mobile robot learn from a pedestrian model to prevent the sidewalk salsa?
Olger Siebinga, David Abbink
Pedestrians approaching each other on a sidewalk sometimes end up in an awkward interaction known as the "sidewalk salsa": they both (repeatedly) deviate to the same side to avoid…
Towards Human-Centric Evaluation of Interaction-Aware Automated Vehicle Controllers: A Framework and Case Study
Federico Scarì, Olger Siebinga, Arkady Zgonnikov
As automated vehicles (AVs) increasingly integrate into mixed-traffic environments, evaluating their interaction with human-driven vehicles (HDVs) becomes critical. In most researc…
A Model of the Sidewalk Salsa
Olger Siebinga
When two pedestrians approach each other on the sidewalk head-on, they sometimes engage in an awkward interaction, both deviating to the same side (repeatedly) to avoid a collision…
A merging interaction model explains human drivers' behaviour from input signals to decisions
Olger Siebinga, Arkady Zgonnikov, David Abbink
One of the bottlenecks of automated driving technologies is safe and socially acceptable interactions with human-driven vehicles, for example during merging. Driver models that pro…
Merging in a Coupled Driving Simulator: How do drivers resolve conflicts?
Olger Siebinga, Arkady Zgonnikov, David A. Abbink
Traffic interactions between merging and highway vehicles are a major topic of research, yielding many empirical studies and models of driver behaviour. Most of these studies on me…
A model of communication-enabled traffic interactions
O. Siebinga, A. Zgonnikov, D. A. Abbink
A major challenge for autonomous vehicles is handling interactive scenarios, such as highway merging, with human-driven vehicles. A better understanding of human interactive behavi…
Uncovering variability in human driving behavior through automatic extraction of similar traffic scenes from large naturalistic datasets
Olger Siebinga, Arkady Zgonnikov, David Abbink
Recently, multiple naturalistic traffic datasets of human-driven trajectories have been published (e.g., highD, NGSim, and pNEUMA). These datasets have been used in studies that in…
A human factors approach to validating driver models for interaction-aware automated vehicles
Olger Siebinga, Arkady Zgonnikov, David Abbink
A major challenge for autonomous vehicles is interacting with other traffic participants safely and smoothly. A promising approach to handle such traffic interactions is equipping…
Stepping Forward with Exoskeletons: Team IHMC's Design and Approach in the 2016 Cybathlon
Robert Griffin, Tyson Cobb, Travis Craig +8
Exoskeletons are a promising technology that enables individuals with mobility limitations to walk again. As the 2016 Cybathlon illustrated, however, the community has a considerab…