Touchsdf: A deepsdf approach for 3d shape reconstruction using vision-based tactile sensing
Humans rely on their visual and tactile senses to develop a comprehensive 3D
understanding of their physical environment. Recently, there has been a growing interest in …
understanding of their physical environment. Recently, there has been a growing interest in …
Scaling gaussian processes with derivative information using variational inference
Gaussian processes with derivative information are useful in many settings where derivative
information is available, including numerous Bayesian optimization and regression tasks …
information is available, including numerous Bayesian optimization and regression tasks …
Variational gaussian processes with decoupled conditionals
Abstract Variational Gaussian processes (GPs) approximate exact GP inference by using a
small set of inducing points to form a sparse approximation of the true posterior, with the …
small set of inducing points to form a sparse approximation of the true posterior, with the …
Exploratory hand: Leveraging safe contact to facilitate manipulation in cluttered spaces
We present a new gripper and exploration approach that uses a finger with very low
reflected inertia for probing and then gras** objects. The finger employs a transparent …
reflected inertia for probing and then gras** objects. The finger employs a transparent …
RUMI: Rummaging Using Mutual Information
This paper presents Rummaging Using Mutual Information (RUMI), a method for online
generation of robot action sequences to gather information about the pose of a known …
generation of robot action sequences to gather information about the pose of a known …
Curiosity driven self-supervised tactile exploration of unknown objects
Intricate behaviors an organism can exhibit is predicated on its ability to sense and
effectively interpret complexities of its surroundings. Relevant information is often distributed …
effectively interpret complexities of its surroundings. Relevant information is often distributed …
[PDF][PDF] Efficient variational Gaussian processes initialization via kernel-based least squares fitting
Stochastic variational Gaussian processes (SVGP) scale Gaussian process inference to
large datasets through inducing points and stochastic training. However, the training …
large datasets through inducing points and stochastic training. However, the training …
Scalable Gaussian Processes and Bayesian Optimization with Application to Hyperparameter Tuning
X Zhu - 2024 - search.proquest.com
This dissertation delves into the advanced realms of Gaussian Processes (GPs) and
Bayesian Optimization (BO), presenting novel methodologies that enhance their …
Bayesian Optimization (BO), presenting novel methodologies that enhance their …