3 citations · 6 across the 4 of their papers we have counts for
4 papers · 1 filter
Improving Path Planning Performance through Multimodal Generative Models with Local Critics
Jorge Ocampo Jimenez, Wael Suleiman
This paper presents a novel method for accelerating path planning tasks in unknown scenes with obstacles by utilizing Wasserstein Generative Adversarial Networks (WGANs) with Gradi…
Sensor Observability Analysis for Maximizing Task-Space Observability of Articulated Robots
Christopher Yee Wong, Wael Suleiman
We propose a novel performance metric for articulated robots with distributed directional sensors called the sensor observability analysis (SOA). These robot-mounted distributed di…
Sensor Observability Index: Evaluating Sensor Alignment for Task-Space Observability in Robotic Manipulators
Christopher Yee Wong, Wael Suleiman
In this paper, we propose a preliminary definition and analysis of the novel concept of sensor observability index. The goal is to analyse and evaluate the performance of distribut…
Vision- and tactile-based continuous multimodal intention and attention recognition for safer physical human-robot interaction
Christopher Yee Wong, Lucas Vergez, Wael Suleiman
Employing skin-like tactile sensors on robots enhances both the safety and usability of collaborative robots by adding the capability to detect human contact. Unfortunately, simple…