196 citations · 444 across the 10 of their papers we have counts for
10 papers
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data
John So, Amber Xie, Sunggoo Jung +5
Autonomous driving is complex, requiring sophisticated 3D scene understanding, localization, mapping, and control. Rather than explicitly modelling and fusing each of these compone…
ACHORD: Communication-Aware Multi-Robot Coordination with Intermittent Connectivity
Maira Saboia, Lillian Clark, Vivek Thangavelu +16
Communication is an important capability for multi-robot exploration because (1) inter-robot communication (comms) improves coverage efficiency and (2) robot-to-base comms improves…
PropEM-L: Radio Propagation Environment Modeling and Learning for Communication-Aware Multi-Robot Exploration
Lillian Clark, Jeffrey A. Edlund, Marc Sanchez Net +2
Multi-robot exploration of complex, unknown environments benefits from the collaboration and cooperation offered by inter-robot communication. Accurate radio signal strength predic…
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
Ali Agha, Kyohei Otsu, Benjamin Morrell +69
This paper presents and discusses algorithms, hardware, and software architecture developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), competing in the DARP…
Markov Brains: A Technical Introduction
Arend Hintze, Jeffrey A. Edlund, Randal S. Olson +9
Markov Brains are a class of evolvable artificial neural networks (ANN). They differ from conventional ANNs in many aspects, but the key difference is that instead of a layered arc…
Integrated information increases with fitness in the evolution of animats
Jeffrey Edlund, Nicolas Chaumont, Arend Hintze +3
One of the hallmarks of biological organisms is their ability to integrate disparate information sources to optimize their behavior in complex environments. How this capability can…