93 citations · 125 across the 17 of their papers we have counts for
22 papers
MinNav: Minimalist Navigation Using Optical Flow For Active Tiny Aerial Robots
Aniket Patil, Mandeep Singh, Uday Girish Maradana +1
Navigation using a monocular camera is pivotal for autonomous operation on tiny aerial robots due to their perfect balance of versatility, cost and accuracy. In this paper, we intr…
NightSight: Passive Computation for Navigation in Dark Using Events
Deepak Singh, Brijan Vaghasiya, Shreyas Khobragade +1
Small aerial robots are particularly well-suited for search and rescue in confined and hazardous environments due to their agility, low cost, and ability to traverse through clutte…
Saranga: MilliWatt Ultrasound for Navigation in Visually Degraded Environments on Palm-Sized Aerial Robots
Manoj Velmurugan, Phillip Brush, Colin Balfour +2
Tiny palm-sized aerial robots possess exceptional agility and cost-effectiveness in navigating confined and cluttered environments. However, their limited payload capacity directly…
AsterNav: Autonomous Aerial Robot Navigation In Darkness Using Passive Computation
Deepak Singh, Shreyas Khobragade, Nitin J. Sanket
Autonomous aerial navigation in absolute darkness is crucial for post-disaster search and rescue operations, which often occur from disaster-zone power outages. Yet, due to resourc…
VizFlyt: Perception-centric Pedagogical Framework For Autonomous Aerial Robots
Kushagra Srivastava, Rutwik Kulkarni, Manoj Velmurugan +1
Autonomous aerial robots are becoming commonplace in our lives. Hands-on aerial robotics courses are pivotal in training the next-generation workforce to meet the growing market de…
EdgeFlowNet: 100FPS@1W Dense Optical Flow For Tiny Mobile Robots
Sai Ramana Kiran Pinnama Raju, Rishabh Singh, Manoj Velmurugan +1
Optical flow estimation is a critical task for tiny mobile robotics to enable safe and accurate navigation, obstacle avoidance, and other functionalities. However, optical flow est…
Detecting Olives with Synthetic or Real Data? Olive the Above
Yianni Karabatis, Xiaomin Lin, Nitin J. Sanket +2
Modern robotics has enabled the advancement in yield estimation for precision agriculture. However, when applied to the olive industry, the high variation of olive colors and their…
WorldGen: A Large Scale Generative Simulator
Chahat Deep Singh, Riya Kumari, Cornelia Fermüller +2
In the era of deep learning, data is the critical determining factor in the performance of neural network models. Generating large datasets suffers from various difficulties such a…
OysterNet: Enhanced Oyster Detection Using Simulation
Xiaomin Lin, Nitin J. Sanket, Nare Karapetyan +1
Oysters play a pivotal role in the bay living ecosystem and are considered the living filters for the ocean. In recent years, oyster reefs have undergone major devastation caused b…
DiffPoseNet: Direct Differentiable Camera Pose Estimation
Chethan M. Parameshwara, Gokul Hari, Cornelia Fermüller +2
Current deep neural network approaches for camera pose estimation rely on scene structure for 3D motion estimation, but this decreases the robustness and thereby makes cross-datase…
GradTac: Spatio-Temporal Gradient Based Tactile Sensing
Kanishka Ganguly, Pavan Mantripragada, Chethan M. Parameshwara +3
Tactile sensing for robotics is achieved through a variety of mechanisms, including magnetic, optical-tactile, and conductive fluid. Currently, the fluid-based sensors have struck…
TTCDist: Fast Distance Estimation From an Active Monocular Camera Using Time-to-Contact
Levi Burner, Nitin J. Sanket, Cornelia Fermüller +1
Distance estimation from vision is fundamental for a myriad of robotic applications such as navigation, manipulation, and planning. Inspired by the mammal's visual system, which ga…
NudgeSeg: Zero-Shot Object Segmentation by Repeated Physical Interaction
Chahat Deep Singh, Nitin J. Sanket, Chethan M. Parameshwara +2
Recent advances in object segmentation have demonstrated that deep neural networks excel at object segmentation for specific classes in color and depth images. However, their perfo…
EVPropNet: Detecting Drones By Finding Propellers For Mid-Air Landing And Following
Nitin J. Sanket, Chahat Deep Singh, Chethan M. Parameshwara +3
The rapid rise of accessibility of unmanned aerial vehicles or drones pose a threat to general security and confidentiality. Most of the commercially available or custom-built dron…
SpikeMS: Deep Spiking Neural Network for Motion Segmentation
Chethan M. Parameshwara, Simin Li, Cornelia Fermüller +3
Spiking Neural Networks (SNN) are the so-called third generation of neural networks which attempt to more closely match the functioning of the biological brain. They inherently enc…
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…
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…
0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera
Chethan M. Parameshwara, Nitin J. Sanket, Chahat Deep Singh +2
Segmentation of moving objects in dynamic scenes is a key process in scene understanding for navigation tasks. Classical cameras suffer from motion blur in such scenarios rendering…
EVDodgeNet: Deep Dynamic Obstacle Dodging with Event Cameras
Nitin J. Sanket, Chethan M. Parameshwara, Chahat Deep Singh +4
Dynamic obstacle avoidance on quadrotors requires low latency. A class of sensors that are particularly suitable for such scenarios are event cameras. In this paper, we present a d…
SalientDSO: Bringing Attention to Direct Sparse Odometry
Huai-Jen Liang, Nitin J. Sanket, Cornelia Fermüller +1
Although cluttered indoor scenes have a lot of useful high-level semantic information which can be used for mapping and localization, most Visual Odometry (VO) algorithms rely on t…
GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight
Nitin J Sanket, Chahat Deep Singh, Kanishka Ganguly +2
Although quadrotors, and aerial robots in general, are inherently active agents, their perceptual capabilities in literature so far have been mostly passive in nature. Researchers…