Pedestrian models for autonomous driving part ii: high-level models of human behavior
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
Human navigation strategies and their errors result from dynamic interactions of spatial uncertainties
Goal-directed navigation requires continuously integrating uncertain self-motion and
landmark cues into an internal sense of location and direction, concurrently planning future …
landmark cues into an internal sense of location and direction, concurrently planning future …
Identifying the key organisational human factors for introducing human-robot collaboration in industry: an exploratory study
G Charalambous, S Fletcher, P Webb - The International Journal of …, 2015 - Springer
The concept of industrial human-robot collaboration (HRC) is becoming increasing
integrated into production lines as a means for enhancing productivity and product quality …
integrated into production lines as a means for enhancing productivity and product quality …
Objective learning from human demonstrations
Researchers in biomechanics, neuroscience, human–machine interaction and other fields
are interested in inferring human intentions and objectives from observed actions. The …
are interested in inferring human intentions and objectives from observed actions. The …
Understanding human avoidance behavior: interaction-aware decision making based on game theory
Being aware of mutual influences between individuals is a major requirement a robot to
efficiently operate in human populated environments. This is especially true for the …
efficiently operate in human populated environments. This is especially true for the …
Human trajectory prediction model and its coupling with a walking pattern generator of a humanoid robot
In order to smoothly perform interactions between a humanoid robot and a human,
knowledge about the human locomotion can be efficiently used. Indeed, in a human-robot …
knowledge about the human locomotion can be efficiently used. Indeed, in a human-robot …
Adherent: Learning human-like trajectory generators for whole-body control of humanoid robots
Human-like trajectory generation and footstep planning represent challenging problems in
humanoid robotics. Recently, research in computer graphics investigated machine-learning …
humanoid robotics. Recently, research in computer graphics investigated machine-learning …
Inverse optimal control from incomplete trajectory observations
This article develops a methodology that enables learning an objective function of an
optimal control system from incomplete trajectory observations. The objective function is …
optimal control system from incomplete trajectory observations. The objective function is …
Probabilistic inference of human arm reaching target for effective human-robot collaboration
Allowing a cobot to predict what the human operator is about to do can definitely enhance
the effectiveness of human-robot collaboration. This paper addresses the problem of …
the effectiveness of human-robot collaboration. This paper addresses the problem of …
Emulating the expert: Inverse optimization through online learning
A Bärmann, S Pokutta… - … Conference on Machine …, 2017 - proceedings.mlr.press
In this paper, we demonstrate how to learn the objective function of a decision maker while
only observing the problem input data and the decision maker's corresponding decisions …
only observing the problem input data and the decision maker's corresponding decisions …