Search Results for author:
Found 15 papers, 8 papers with code
Pixel to Elevation: Learning to Predict Elevation Maps at Long Range using Images for Autonomous Offroad Navigation
We experimentally validate the applicability of our proposed approach for autonomous offroad robotic navigation in complex and unstructured terrain using real-world offroad driving data.
Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling Autonomy
The surface reflectance properties of icy moon terrains (Enceladus and Europa) are inferred from multispectral datasets of previous missions.
Automated Assessment of Critical View of Safety in Laparoscopic Cholecystectomy
Compared with classical open cholecystectomy, laparoscopic cholecystectomy (LC) is associated with significantly shorter recovery period, and hence is the preferred method.
Cross-modal Map Learning for Vision and Language Navigation
We consider the problem of Vision-and-Language Navigation (VLN).
Uncertainty-driven Planner for Exploration and Navigation
We consider the problems of exploration and point-goal navigation in previously unseen environments, where the spatial complexity of indoor scenes and partial observability constitute these tasks challenging.
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets
Robot learning holds the promise of learning policies that generalize broadly.
Learning to Map for Active Semantic Goal Navigation
We consider the problem of object goal navigation in unseen environments.
Object-centric Video Prediction without Annotation
Object-centric video prediction offers a solution to these problems by taking advantage of the simple prior that the world is made of objects and by providing a more natural interface for control.
Hierarchical Kinematic Human Mesh Recovery
In this work, we address this gap by proposing a new technique for regression of human parametric model that is explicitly informed by the known hierarchical structure, including joint interdependencies of the model.
Simultaneous Mapping and Target Driven Navigation
This work presents a modular architecture for simultaneous mapping and target driven navigation in indoors environments.
Learning Local RGB-to-CAD Correspondences for Object Pose Estimation
In this paper, we solve this key problem of existing methods requiring expensive 3D pose annotations by proposing a new method that matches RGB images to CAD models for object pose estimation.
End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching
Finding correspondences between images or 3D scans is at the heart of many computer vision and image retrieval applications and is often enabled by matching local keypoint descriptors.
Synthesizing Training Data for Object Detection in Indoor Scenes
In this work we explore the ability of using synthetically generated composite images for training state-of-the-art object detectors, especially for object instance detection.
Multiview RGB-D Dataset for Object Instance Detection
This paper presents a new multi-view RGB-D dataset of nine kitchen scenes, each containing several objects in realistic cluttered environments including a subset of objects from the BigBird dataset.
