Advances in robust autonomy have increased our ability to adopt robotic systems for exploration of unstructured and uncertain environments. Particularly, successful field tests have demonstrated the tremendous potential of deploying robots for exploration and data collection tasks in extreme environments such as planetary surfaces and ocean trenches. However, various challenges exist, originating from algorithmic limitations, as well as environmental modeling, sensing, mobility, and communication constraints. A relevant selection of robotic systems, methods, and sensing devices can...

1) Zhiang Chen et al., Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning

2) Harish Anand et al., The OpenUAV Swarm Simulation Testbed: a Collaborative Design Studio for Field Robotics