Equipment Support for Multi-human Multi-robot Interactions
Abstract
We request support for purchasing essential instrumentation to pursue novel research related to capturing, modeling, and simulation interactions between multiple-humans and multiple-robots in shared physical environments. This will involve development of novel techniques for autonomous navigation of multiple robots among human crowds as well as performing combined robot-human tasks. The underlying research will lay the scientific foundation of a new area related to human-crowd multi-robot interaction. Furthermore, the high end workstations with multiple CPUs and GPUs will also support our current research on physics-based and acoustic simulation. This equipment will also support the ongoing research under other proposals submitted to Army Research Office (ARO), In terms of equipment support, we propose to acquire the following high-end workstations with high performance parallel computing capabilities as well as these robots with different sensing capabilities: We request two different kind of robots, as they have different capabilities in terms of sensors and navigation capabilities (e.g. speed, locomotion). Similarly, we use two kind of high end workstations. One of them consist of Tesla GPUs which will be used to train deep learning models for perception, navigation and human-robot interaction. Besides multi-human and multi-robot interactions, the techniques developed using the proposed equipment will also be useful for ongoing research projects acoustic and physics-based simulation, virtual reality, artificial intelligence, and multi-agent simulation.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 02, 2019
- Source ID
- W911NF1910315
Entities
People
- Dinesh Manocha
Organizations
- Army Contracting Command
- United States Army
- University of Maryland