54 citations · 191 across the 77 of their papers we have counts for
9 papers · 1 filter
MorphEyes: Variable Baseline Stereo For Quadrotor Navigation
Nitin J. Sanket, Chahat Deep Singh, Varun Asthana +2
Morphable design and depth-based visual control are two upcoming trends leading to advancements in the field of quadrotor autonomy. Stereo-cameras have struck the perfect balance o…
Grasping in the Dark: Zero-Shot Object Grasping Using Tactile Feedback
Kanishka Ganguly, Behzad Sadrfaridpour, Pavan Mantripragada +3
Grasping and manipulating a wide variety of objects is a fundamental skill that would determine the success and wide spread adaptation of robots in homes. Several end-effector desi…
Hybrid Backpropagation Parallel Reservoir Networks
Matthew Evanusa, Snehesh Shrestha, Michelle Girvan +2
In many real-world applications, fully-differentiable RNNs such as LSTMs and GRUs have been widely deployed to solve time series learning tasks. These networks train via Backpropag…
Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment
Matthew Evanusa, Cornelia Fermüller, Yiannis Aloimonos
Deep Reservoir Computing has emerged as a new paradigm for deep learning, which is based around the reservoir computing principle of maintaining random pools of neurons combined wi…
A Deep 2-Dimensional Dynamical Spiking Neuronal Network for Temporal Encoding trained with STDP
Matthew Evanusa, Cornelia Fermuller, Yiannis Aloimonos
The brain is known to be a highly complex, asynchronous dynamical system that is highly tailored to encode temporal information. However, recent deep learning approaches to not tak…
PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry
Nitin J. Sanket, Chahat Deep Singh, Cornelia Fermüller +1
Odometry on aerial robots has to be of low latency and high robustness whilst also respecting the Size, Weight, Area and Power (SWAP) constraints as demanded by the size of the rob…