| Off‐road ground robot path energy cost prediction through probabilistic spatial mapping M Quann, L Ojeda, W Smith, D Rizzo, M Castanier, K Barton Journal of Field Robotics 37 (3), 421-439, 2020 | 33 | 2020 |
| An energy-efficient method for multi-robot reconnaissance in an unknown environment M Quann, L Ojeda, W Smith, D Rizzo, M Castanier, K Barton 2017 American Control Conference (ACC), 2279-2284, 2017 | 21 | 2017 |
| Chance constrained reachability in environments with spatially varying energy costs M Quann, L Ojeda, W Smith, D Rizzo, M Castanier, K Barton Robotics and Autonomous Systems 119, 1-12, 2019 | 11 | 2019 |
| Ground robot terrain mapping and energy prediction in environments with 3-D topography M Quann, L Ojeda, W Smith, D Rizzo, M Castanier, K Barton 2018 Annual American Control Conference (ACC), 3532-3537, 2018 | 9 | 2018 |
| Power prediction for heterogeneous ground robots through spatial mapping and sharing of terrain data M Quann, L Ojeda, W Smith, D Rizzo, M Castanier, K Barton IEEE Robotics and Automation Letters 5 (2), 1579-1586, 2020 | 8 | 2020 |
| An iterative learning control approach to multi-agent formations M Quann, K Barton Dynamic Systems and Control Conference 57267, V003T37A009, 2015 | 2 | 2015 |
| Ground Robot Energy Prediction and Reachability in Off-Road Environments Through Spatial Terrain Mapping M Quann | | 2019 |
