The adaptability of soft robots makes them ideal candidates to maneuver
...
Recent works have shown that sequence modeling can be effectively used t...
This paper extends the gap-based navigation technique in Potential Gap b...
Deep neural networks are susceptible to generating overconfident yet
err...
Home-assistant robots have been a long-standing research topic, and one ...
We propose a new 6-DoF grasp pose synthesis approach from 2D/2.5D input ...
We present a parallelized optimization method based on fast Neural Radia...
Barrier function-based inequality constraints are a means to enforce saf...
We propose a single-stage, category-level 6-DoF pose estimation algorith...
Gaits engineered for snake-like robots to rotate in-place instrumentally...
This paper investigates robot manipulation based on human instruction wi...
Shape informs how an object should be grasped, both in terms of where an...
Prior work on 6-DoF object pose estimation has largely focused on
instan...
Contemporary grasp detection approaches employ deep learning to achieve
...
We consider the task of grasping a target object based on a natural lang...
We present a system for multi-level scene awareness for robotic manipula...
This paper considers the integration of gap-based local navigation metho...
The advent of deep learning has inspired research into end-to-end learni...
This paper describes an image based visual servoing (IBVS) system for a
...
The cost-efficiency of visual(-inertial) SLAM (VSLAM) is a critical
char...
Visual-inertial SLAM is essential for robot navigation in GPS-denied
env...
Analysis of state-of-the-art VO/VSLAM system exposes a gap in balancing
...
A segmentation-based architecture is proposed to decompose objects into
...
This paper presents a framework for predicting affordances of object par...
Rectilinear forms of snake-like robotic locomotion are anticipated to be...
The diversity of SLAM benchmarks affords extensive testing of SLAM algor...
This paper aims to select features that contribute most to the pose
esti...
A local map module is often implemented in modern VO/VSLAM systems to im...
A deep learning architecture is proposed to predict graspable locations ...
A human-in-the-loop system is proposed to enable collaborative manipulat...
Recent applications of deep learning to navigation have generated end-to...
Optimal path planning problems for rigid and deformable (bendable) cuboi...
This paper proposes a simple yet effective approach to learn visual feat...
K-means is undoubtedly the most widely used partitional clustering algor...