R. Buchanan, V. Agrawal, M. Camurri, F. Dellaert, M. Fallon. Deep IMU Bias Inference for Robust Visual-Inertial Odometry With Factor Graphs. Robotics and Automation Letters vol. 8, no. 1, pp. 41-48, Jan. 2023. https://link.springer.com/article/10.1007/s10514-021-10013-w
Publications
For most up to date list, see my Google Scholar profile.
Journal Papers
R. Buchanan, J. Bednarek, M. Camurri, M. R. Nowicki, K. Walas, M. Fallon. Navigating by touch: haptic Monte Carlo localization via geometric sensing and terrain classification. Autonomous Robot 45, 843–857 (2021). https://link.springer.com/article/10.1007/s10514-021-10013-w
M. Tranzatto, [...] R. Buchanan, [...] K. Alexis, "CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge". Field Robotics 2021. https://www.research-collection.ethz.ch/handle/20.500.11850/489726
R. Buchanan, L. Wellhausen, M. Bjelonic, T. Bandyopadhyay, N. Kottege and M. Hutter, "Perceptive Whole Body Planning for Multi-legged Robots in Confined Spaces,". J Field Robotics. 2020; 1-17 https://onlinelibrary.wiley.com/doi/10.1002/rob.21974
H. Kolvenbach, D. Wisth, R. Buchanan, G. Valsecchi, R. Grandia, M. Fallon, and M. Hutter, “Towards autonomous inspection of concrete deterioration in sewers with legged robots, J Field Robotics. 2020; 1-4 https://onlinelibrary.wiley.com/doi/abs/10.1002/rob.21964
R. Buchanan, T. Bandyopadhyay, M. Bjelonic, L. Wellhausen, M. Hutter and N. Kottege, "Walking Posture Adaptation for Legged Robot Navigation in Confined Spaces," in IEEE Robotics and Automation Letters, vol. 4, no. 2, pp. 2148-2155, April 2019. https://ieeexplore.ieee.org/document/8642939
Conferences
R. Buchanan, M. Camurri, F. Dellaert, M. Fallon. “Learning Inertial Odometry for Dynamic Legged Robot State Estimation” 5th Annual Conference on Robot Learning (CoRL) 2021.
R. Buchanan, M. Camurri, M. Fallon. “Haptic Sequential Monte Carlo Localization for Quadrupedal Locomotion in Vision-Denied Scenarios” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 pp. 3657-3663, doi: 10.1109/IROS45743.2020.9341128.