Outputs (7)

Should we get involved? Impact of human collaboration and intervention on multi-robot teams (2025)
Journal Article

Introduction: The challenges encountered in the design of multi-robot teams (MRT) highlight the need for different levels of human involvement, creating human-in-the-loop multi-robot teams. By integrating human cognitive abilities with the functional... Read More about Should we get involved? Impact of human collaboration and intervention on multi-robot teams.

Investigating factors influencing takeover performance in conditionally automated driving: The role of uncertainty communication (2025)
Journal Article

Safe transition following a Takeover Request (ToR) in Level 3 automated driving requires a high situational awareness, which is influenced by traffic complexity, non-driving-related tasks (NDRTs), and communication strategies. These factors are often... Read More about Investigating factors influencing takeover performance in conditionally automated driving: The role of uncertainty communication.

Cyber-physical-human systems for mobile robots in energy asset management: Current practices and future opportunities (2025)
Journal Article

Rapid advancement of digital technologies has resulted in an acceleration of cyber–physical systems for autonomous mobile robots to improve energy asset management activities within inspection, maintenance and repair. Within this systems-based approa... Read More about Cyber-physical-human systems for mobile robots in energy asset management: Current practices and future opportunities.

Ensemble of pre-trained models for long-tailed trajectory prediction (2025)
Presentation / Conference Contribution

This work explores the application of ensemble modeling to the multidimensional regression problem of tra-jectory prediction for vehicles in urban environments. We show how, perhaps surprisingly, combining state-of-the-art deep learning models out-of... Read More about Ensemble of pre-trained models for long-tailed trajectory prediction.

MinkOcc: Towards real-time label-efficient semantic occupancy prediction (2025)
Presentation / Conference Contribution

Developing 3D semantic occupancy prediction models often relies on dense 3D annotations for supervised learning, a process that is both labor and resource-intensive, underscoring the need for label-efficient or even label-free approaches. To address... Read More about MinkOcc: Towards real-time label-efficient semantic occupancy prediction.

GraphSCENE: On-demand critical scenario generation for autonomous vehicles in simulation (2025)
Presentation / Conference Contribution

Testing and validating Autonomous Vehicle (AV) performance in safety-critical and diverse scenarios is crucial before real-world deployment. However, manually creating such scenarios in simulation remains a significant and time-consuming challenge. T... Read More about GraphSCENE: On-demand critical scenario generation for autonomous vehicles in simulation.

A vision-guided deep learning framework for dexterous robotic grasping using Gaussian processes and transformers (2025)
Journal Article

Robotic manipulation of objects with diverse shapes, sizes, and properties, especially deformable ones, remains a significant challenge in automation, necessitating human-like dexterity through the integration of perception, learning, and control. Th... Read More about A vision-guided deep learning framework for dexterous robotic grasping using Gaussian processes and transformers.