[HTML][HTML] Beyond simple laboratory studies: developing sophisticated models to study rich behavior
Psychology and neuroscience are concerned with the study of behavior, of internal cognitive
processes, and their neural foundations. However, most laboratory studies use constrained …
processes, and their neural foundations. However, most laboratory studies use constrained …
Challenges and solutions for autonomous ground robot scene understanding and navigation in unstructured outdoor environments: A review
The capabilities of autonomous mobile robotic systems have been steadily improving due to
recent advancements in computer science, engineering, and related disciplines such as …
recent advancements in computer science, engineering, and related disciplines such as …
Neural fields in visual computing and beyond
Recent advances in machine learning have led to increased interest in solving visual
computing problems using methods that employ coordinate‐based neural networks. These …
computing problems using methods that employ coordinate‐based neural networks. These …
Adaafford: Learning to adapt manipulation affordance for 3d articulated objects via few-shot interactions
Perceiving and interacting with 3D articulated objects, such as cabinets, doors, and faucets,
pose particular challenges for future home-assistant robots performing daily tasks in human …
pose particular challenges for future home-assistant robots performing daily tasks in human …
Learning affordance landscapes for interaction exploration in 3d environments
T Nagarajan, K Grauman - Advances in Neural Information …, 2020 - proceedings.neurips.cc
Embodied agents operating in human spaces must be able to master how their environment
works: what objects can the agent use, and how can it use them? We introduce a …
works: what objects can the agent use, and how can it use them? We introduce a …
An exploration of embodied visual exploration
SK Ramakrishnan, D Jayaraman… - International Journal of …, 2021 - Springer
Embodied computer vision considers perception for robots in novel, unstructured
environments. Of particular importance is the embodied visual exploration problem: how …
environments. Of particular importance is the embodied visual exploration problem: how …
Learned visual navigation for under-canopy agricultural robots
We describe a system for visually guided autonomous navigation of under-canopy farm
robots. Low-cost under-canopy robots can drive between crop rows under the plant canopy …
robots. Low-cost under-canopy robots can drive between crop rows under the plant canopy …
Spatial action maps for mobile manipulation
Typical end-to-end formulations for learning robotic navigation involve predicting a small set
of steering command actions (eg, step forward, turn left, turn right, etc.) from images of the …
of steering command actions (eg, step forward, turn left, turn right, etc.) from images of the …
Visual language navigation: A survey and open challenges
SM Park, YG Kim - Artificial Intelligence Review, 2023 - Springer
With the recent development of deep learning, AI models are widely used in various
domains. AI models show good performance for definite tasks such as image classification …
domains. AI models show good performance for definite tasks such as image classification …
Neural volumetric world models for autonomous driving
Effectively navigating a dynamic 3D world requires a comprehensive understanding of the
3D geometry and motion of surrounding objects and layouts. However, existing methods for …
3D geometry and motion of surrounding objects and layouts. However, existing methods for …