Media Summary: Presented in IEEE International Conference on Robotics and Automation, Montreal Canada, May 20-24, 2019. Paper: ... M. Corsaro, S. Tellex, and G.D. Konidaris. Learning to Detect Multi-Modal This work has immense use cases in various real-world applications, such as warehouse automation, larger retail store ...
Robust Object Grasping In Clutter - Detailed Analysis & Overview
Presented in IEEE International Conference on Robotics and Automation, Montreal Canada, May 20-24, 2019. Paper: ... M. Corsaro, S. Tellex, and G.D. Konidaris. Learning to Detect Multi-Modal This work has immense use cases in various real-world applications, such as warehouse automation, larger retail store ... IEEE Robotics and Automation Letters Authors: Marios Kiatos, Iason Sarantopoulos, Leonidas Koutras, Sotiris Malassiotis, Zoe ... ICRA2025: Adaptive Grasping of Moving Objects in Dense Clutter Nowadays robots play an increasingly important role in our daily life. In human-centered environments, robots often encounter ...
We explore an emerging technique, geometric Real2Sim2Real, in the context of Centre PhD Researcher Doug Morrison tests and validates his world-first active perception approach at the Centre's QUT-based ... Accepted for presentation in IEEE International Conference on Robotics and Automation, Paris France, May 31-June 4, 2020. Robust Grasping for Individual and Cooperative Table Cleaning Pixel-Attentive Policy Gradient for Multi-Fingered
