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Conformalized Reachable Sets for Obstacle Avoidance With Spheres
Yongseok Kwon, Jonathan Michaux, Seth Isaacson +4
Safe motion planning algorithms are necessary for deploying autonomous robots in unstructured environments. Motion plans must be safe to ensure that the robot does not harm humans…
Let's Make a Splan: Risk-Aware Trajectory Optimization in a Normalized Gaussian Splat
Jonathan Michaux, Seth Isaacson, Challen Enninful Adu +6
Neural Radiance Fields and Gaussian Splatting have recently transformed computer vision by enabling photo-realistic representations of complex scenes. However, they have seen limit…
SPOT: Point Cloud Based Stereo Visual Place Recognition for Similar and Opposing Viewpoints
Spencer Carmichael, Rahul Agrawal, Ram Vasudevan +1
Recognizing places from an opposing viewpoint during a return trip is a common experience for human drivers. However, the analogous robotics capability, visual place recognition (V…
Dataset and Benchmark: Novel Sensors for Autonomous Vehicle Perception
Spencer Carmichael, Austin Buchan, Mani Ramanagopal +3
Conventional cameras employed in autonomous vehicle (AV) systems support many perception tasks, but are challenged by low-light or high dynamic range scenes, adverse weather, and f…
LONER: LiDAR Only Neural Representations for Real-Time SLAM
Seth Isaacson, Pou-Chun Kung, Mani Ramanagopal +2
This paper proposes LONER, the first real-time LiDAR SLAM algorithm that uses a neural implicit scene representation. Existing implicit mapping methods for LiDAR show promising res…
Uncertainty-Aware Acoustic Localization and Mapping for Underwater Robots
Jingyu Song, Onur Bagoren, Katherine A. Skinner
For underwater vehicles, robotic applications have the added difficulty of operating in highly unstructured and dynamic environments. Environmental effects impact not only the dyna…