activity
20122025
most citedPedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review

105 citations · 157 across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.RO2023

Polar Collision Grids: Effective Interaction Modelling for Pedestrian Trajectory Prediction in Shared Space Using Collision Checks

Mahsa Golchoubian, Moojan Ghafurian, Kerstin Dautenhahn +1

Predicting pedestrians' trajectories is a crucial capability for autonomous vehicles' safe navigation, especially in spaces shared with pedestrians. Pedestrian motion in shared spa…

cs.RO2023★ 105 cited

Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review

Mahsa Golchoubian, Moojan Ghafurian, Kerstin Dautenhahn +1

Planning an autonomous vehicle's (AV) path in a space shared with pedestrians requires reasoning about pedestrians' future trajectories. A practical pedestrian trajectory predictio…

cs.RO2023

Adapting to Human Preferences to Lead or Follow in Human-Robot Collaboration: A System Evaluation

Ali Noormohammadi-Asl, Ali Ayub, Stephen L. Smith +1

With the introduction of collaborative robots, humans and robots can now work together in close proximity and share the same workspace. However, this collaboration presents various…

cs.RO2023

How Do Human Users Teach a Continual Learning Robot in Repeated Interactions?

Ali Ayub, Jainish Mehta, Zachary De Francesco +3

Continual learning (CL) has emerged as an important avenue of research in recent years, at the intersection of Machine Learning (ML) and Human-Robot Interaction (HRI), to allow rob…

cs.RO2023

A Personalized Household Assistive Robot that Learns and Creates New Breakfast Options through Human-Robot Interaction

Ali Ayub, Chrystopher L. Nehaniv, Kerstin Dautenhahn

For robots to assist users with household tasks, they must first learn about the tasks from the users. Further, performing the same task every day, in the same way, can become bori…

cs.RO2023★ 7 cited

Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions

Ali Ayub, Zachary De Francesco, Patrick Holthaus +2

For long-term deployment in dynamic real-world environments, assistive robots must continue to learn and adapt to their environments. Researchers have developed various computation…