Geofusion: Geometric consistency informed scene estimation in dense clutter

Z Sui, H Chang, N Xu… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
We propose GeoFusion, a SLAM-based scene estimation method for building an object-
level semantic map in dense clutter. In dense clutter, objects are often in close contact and …

Enhancing Embodied Object Detection through Language-Image Pre-training and Implicit Object Memory

NH Chapman, F Dayoub, W Browne… - arXiv preprint arXiv …, 2024 - arxiv.org
Deep-learning and large scale language-image training have produced image object
detectors that generalise well to diverse environments and semantic classes. However …

Long-Horizon Planning Under Uncertainty and Geometric Constraints for Mobile Manipulation by Autonomous Humanoid Robots

AA Adu-Bredu - 2023 - deepblue.lib.umich.edu
Autonomous humanoid robots have the potential to perform critical and labor-intensive tasks
that could go a long way to improve upon the quality of human life. To realize this potential …

A comparison of contextual bandit approaches to human-in-the-loop robot task completion with infrequent feedback

M McNeill, D Lyons - … on Tools with Artificial Intelligence (ICTAI), 2019 - ieeexplore.ieee.org
Artificially intelligent assistive agents are playing an increased role in our work and homes.
In contrast with currently predominant conversational agents, whose intelligence derives …

[引用][C] Generalized object permanence for object retrieval through semantic linking maps

Z Zeng, A Röfer, S Lu, OC Jenkins - IEEE ICRA 2019 workshop on high accuracy …, 2019