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Found 9 papers, 4 papers with code
Optimal decision making in robotic assembly and other trial-and-error tasks
Uncertainty in perception, actuation, and the environment often require multiple attempts for a robotic task to be successful.
Toward smart composites: small-scale, untethered prediction and control for soft sensor/actuator systems
We then study experimental results on two experimental rigs with different sensing, actuation and computational hardware: a tendon-based platform with embedded LightLace sensors and a HASEL-based platform with magnetic sensors.
High-bandwidth nonlinear control for soft actuators with recursive network models
We present a high-bandwidth, lightweight, and nonlinear output tracking technique for soft actuators that combines parsimonious recursive layers for forward output predictions and online optimization using Newton-Raphson.
Autonomous Industrial Assembly using Force, Torque, and RGB-D sensing
We present algorithms and results for a robotic manipulation system that was designed to be easily programmable and adaptable to various tasks common to industrial setting, which is inspired by the Industrial Assembly Challenge at the 2018 World Robotics Summit in Tokyo.
Robotics
Augmented Reality for Human-Swarm Interaction in a Swarm-Robotic Chemistry Simulation
We present a method to register individual members of a robotic swarm in an augmented reality display while showing relevant information about swarm dynamics to the user that would be otherwise hidden.
Embedded Neural Networks for Robot Autonomy
We present a library to automatically embed signal processing and neural network predictions into the material robots are made of.
Distributed Machine Learning in Materials that Couple Sensing, Actuation, Computation and Communication
As the ultimate goal of this research is to incorporate the approaches described in this survey into a robotic material paradigm, the potential for adapting the computational models used in these applications, and corresponding training algorithms, to an amorphous network of computing nodes is considered.
Analysis and Observations from the First Amazon Picking Challenge
This paper presents a overview of the inaugural Amazon Picking Challenge along with a summary of a survey conducted among the 26 participating teams.
Robotics
Simultaneous Localization, Mapping, and Manipulation for Unsupervised Object Discovery
We present an unsupervised framework for simultaneous appearance-based object discovery, detection, tracking and reconstruction using RGBD cameras and a robot manipulator.
