Apparatuses, systems, and techniques to obtain prediction set(s) (e.g., region(s)) for keypoint prediction(s) based at least in part on data associated with an object, compute a set of candidate poses for the object based at least in part on the prediction set(s), and estimate an estimated object pose based at least in part on the set of candidate poses. The estimated object pose may be used to move a device. For example the estimated object pose may be used to provide collision-free motion generation for a real-world or virtual device (e.g., a robot, an autonomous machine, or a semi-autonomous machine). In at least one embodiment, at least a portion of the object pose estimation and/or at least a portion of the collision-free motion generation is performed in parallel.