Multi-legged robots are capable of navigating a variety of complex and unstructured terrains. Their many degrees of freedom allow them to adapt their walking posture to navigate several challenging environments, including confined spaces.
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A model to classify cyberattacks using swarm intelligence
In recent years, new technological advances have led to a growing number of devices, ranging from more conventional computers to other gadgets and smart home appliances, communicating and sharing data with one another. Despite its advantages, this growing...
A model to determine the impact of DDoS attacks using Twitter data
Distributed denial of service (DDoS) attacks, which are designed to prevent legitimate users from accessing specific network systems, have become increasingly common over the past decade or so. These attacks make services such as Facebook, Reddit and online banking...
A model to predict the size and shape of online comment threads
On social media platforms such as Reddit and Twitter people can express their opinions and take part in discussions about a variety of topics. This is generally done in comment threads, which allow users to comment on existing posts.
A multi-camera optical tactile sensor that could enable vision-based robotic skins
A team of researchers at ETH Zurich in Switzerland has recently developed a multi-camera optical tactile sensor (i.e., a tactile sensor based on optical devices) that collects information about the contact force distribution applied to its surface. This sensor,...
A multi-objective optimization approach for socially aware robot navigation
Mobile robots are gradually making their way into a number of human-populated environments, including hospitals, malls and people's homes. In order for these robots to interact with humans in their surroundings, they should respect a number of unspoken social norms...
A multi-representational convolutional neural network architecture for text classification
Over the past decade or so, convolutional neural networks (CNNs) have proven to be very effective in tackling a variety of tasks, including natural language processing (NLP) tasks. NLP entails the use of computational techniques to analyze or synthesize language, both...
A framework to estimate and control leg trajectories of a quadrupedal microrobot
A team of researchers at Harvard University and Wyss Institute for Biologically Inspired Engineering has recently developed a computationally efficient framework for the estimation and control of leg trajectories on a quadrupedal microrobot. Their approach, outlined...
A friction reduction system for deformable robotic fingertips
Researchers at Kanazawa University have recently developed a friction reduction system based on a lubricating effect, which could have interesting soft robotics applications. Their system, presented in a paper published in Taylor & Francis' Advanced Robotics journal,...
A generative memory approach to enable lifelong reinforcement learning
A key limitation of existing artificial intelligence (AI) systems is that they are unable to tackle tasks for which they have not been trained. In fact, even when they are retrained, the majority these systems are prone to 'catastrophic forgetting,' which essentially...