Challenges and opportunities in robotic food handling: A review
Despite developments in robotics and automation technologies, several challenges need to
be addressed to fulfill the high demand for automating various manufacturing processes in …
be addressed to fulfill the high demand for automating various manufacturing processes in …
A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators
Object pose recovery has gained increasing attention in the computer vision field as it has
become an important problem in rapidly evolving technological areas related to autonomous …
become an important problem in rapidly evolving technological areas related to autonomous …
Robotic pick-and-place of novel objects in clutter with multi-affordance gras** and cross-domain image matching
This article presents a robotic pick-and-place system that is capable of gras** and
recognizing both known and novel objects in cluttered environments. The key new feature of …
recognizing both known and novel objects in cluttered environments. The key new feature of …
Buffer: Balancing accuracy, efficiency, and generalizability in point cloud registration
An ideal point cloud registration framework should have superior accuracy, acceptable
efficiency, and strong generalizability. However, this is highly challenging since existing …
efficiency, and strong generalizability. However, this is highly challenging since existing …
Multi-view self-supervised deep learning for 6d pose estimation in the amazon picking challenge
Robot warehouse automation has attracted significant interest in recent years, perhaps most
visibly in the Amazon Picking Challenge (APC)[1]. A fully autonomous warehouse pick-and …
visibly in the Amazon Picking Challenge (APC)[1]. A fully autonomous warehouse pick-and …
Learning deep policies for robot bin picking by simulating robust gras** sequences
Recent results suggest that it is possible to grasp a variety of singulated objects with high
precision using Convolutional Neural Networks (CNNs) trained on synthetic data. This paper …
precision using Convolutional Neural Networks (CNNs) trained on synthetic data. This paper …
Recovering 6D object pose and predicting next-best-view in the crowd
Object detection and 6D pose estimation in the crowd (scenes with multiple object instances,
severe foreground occlusions and background distractors), has become an important …
severe foreground occlusions and background distractors), has become an important …
Industrial robotics
Much of the technology that makes robots reliable, human friendly, and adaptable for
numerous applications has emerged from manufacturers of industrial robots. With an …
numerous applications has emerged from manufacturers of industrial robots. With an …
3d backscatter localization for {Fine-Grained} robotics
This paper presents the design and implementation of TurboTrack, a 3D localization system
for fine-grained robotic tasks. TurboTrack's unique capability is that it can localize …
for fine-grained robotic tasks. TurboTrack's unique capability is that it can localize …
Segicp: Integrated deep semantic segmentation and pose estimation
Recent robotic manipulation competitions have highlighted that sophisticated robots still
struggle to achieve fast and reliable perception of task-relevant objects in complex, realistic …
struggle to achieve fast and reliable perception of task-relevant objects in complex, realistic …