47 citations · 61 across the 5 of their papers we have counts for
6 papers
Tactile Robotics: An Outlook
Shan Luo, Nathan F. Lepora, Wenzhen Yuan +3
Robotics research has long sought to give robots the ability to perceive the physical world through touch in an analogous manner to many biological systems. Developing such tactile…
An Empirical Evaluation of Various Information Gain Criteria for Active Tactile Action Selection for Pose Estimation
Prajval Kumar Murali, Ravinder Dahiya, Mohsen Kaboli
Accurate object pose estimation using multi-modal perception such as visual and tactile sensing have been used for autonomous robotic manipulators in literature. Due to variation i…
Towards Robust 3D Object Recognition with Dense-to-Sparse Deep Domain Adaptation
Prajval Kumar Murali, Cong Wang, Ravinder Dahiya +1
Three-dimensional (3D) object recognition is crucial for intelligent autonomous agents such as autonomous vehicles and robots alike to operate effectively in unstructured environme…
Active Visuo-Tactile Interactive Robotic Perception for Accurate Object Pose Estimation in Dense Clutter
Prajval Kumar Murali, Anirvan Dutta, Michael Gentner +3
This work presents a novel active visuo-tactile based framework for robotic systems to accurately estimate pose of objects in dense cluttered environments. The scene representation…
Real-time noise cancellation with Deep Learning
Bernd Porr, Sama Daryanavard, Lucía Muñoz Bohollo +2
Biological measurements are often contaminated with large amounts of non-stationary noise which require effective noise reduction techniques. We present a new real-time deep learni…
Robotic Tactile Perception of Object Properties: A Review
Shan Luo, Joao Bimbo, Ravinder Dahiya +1
Touch sensing can help robots understand their sur- rounding environment, and in particular the objects they interact with. To this end, roboticists have, in the last few decades,…