425 citations · 1.8k across the 99 of their papers we have counts for
10 papers · 1 filter
One Framework to Register Them All: PointNet Encoding for Point Cloud Alignment
Vinit Sarode, Xueqian Li, Hunter Goforth +5
PointNet has recently emerged as a popular representation for unstructured point cloud data, allowing application of deep learning to tasks such as object detection, segmentation a…
Adversary A3C for Robust Reinforcement Learning
Zhaoyuan Gu, Zhenzhong Jia, Howie Choset
Asynchronous Advantage Actor Critic (A3C) is an effective Reinforcement Learning (RL) algorithm for a wide range of tasks, such as Atari games and robot control. The agent learns p…
FusionMapping: Learning Depth Prediction with Monocular Images and 2D Laser Scans
Peng Yin, Jianing Qian, Yibo Cao +2
Acquiring accurate three-dimensional depth information conventionally requires expensive multibeam LiDAR devices. Recently, researchers have developed a less expensive option by pr…
xBD: A Dataset for Assessing Building Damage from Satellite Imagery
Ritwik Gupta, Richard Hosfelt, Sandra Sajeev +6
We present xBD, a new, large-scale dataset for the advancement of change detection and building damage assessment for humanitarian assistance and disaster recovery research. Natura…
State Estimation for Legged Robots Using Contact-Centric Leg Odometry
Shuo Yang, Hans Kumar, Zhaoyuan Gu +3
Our goal is to send legged robots into challenging, unstructured terrains that wheeled systems cannot traverse. Moreover, precise estimation of the robot's position and orientation…
Design and Implementation of a Three-Link Brachiation Robot with Optimal Control Based Trajectory Tracking Controller
Shuo Yang, Zhaoyuan Gu, Ruohai Ge +3
This paper reports the design and implementation of a three-link brachiation robot. The robot is able to travel along horizontal monkey bars using continuous arm swings. We build a…
Globally optimal registration of noisy point clouds
Rangaprasad Arun Srivatsan, Tejas Zodage, Howie Choset
Registration of 3D point clouds is a fundamental task in several applications of robotics and computer vision. While registration methods such as iterative closest point and varian…
PCRNet: Point Cloud Registration Network using PointNet Encoding
Vinit Sarode, Xueqian Li, Hunter Goforth +4
PointNet has recently emerged as a popular representation for unstructured point cloud data, allowing application of deep learning to tasks such as object detection, segmentation a…
Geometric phase predicts locomotion performance in undulating living systems across scales
Jennifer M Rieser, Baxi Chong, Chaohui Gong +8
Self-propelling organisms locomote via generation of patterns of self-deformation. Despite the diversity of body plans, internal actuation schemes and environments in limbless vert…
Distributed Learning of Decentralized Control Policies for Articulated Mobile Robots
Guillaume Sartoretti, William Paivine, Yunfei Shi +2
State-of-the-art distributed algorithms for reinforcement learning rely on multiple independent agents, which simultaneously learn in parallel environments while asynchronously upd…