1 citations · 1 across the 15 of their papers we have counts for
15 papers
LPV-MPC for Lateral Control in Full-Scale Autonomous Racing
Hassan Jardali, Ihab S. Mohamed, Durgakant Pushp +1
Autonomous racing has attracted significant attention recently, presenting challenges in selecting an optimal controller that operates within the onboard system's computational lim…
Seeing Where to Deploy: Metric RGB-Based Traversability Analysis for Aerial-to-Ground Hidden Space Inspection
Seoyoung Lee, Shaekh Mohammad Shithil, Durgakant Pushp +2
Inspection of confined infrastructure such as culverts often requires accessing hidden spaces whose entrances are reachable primarily from elevated viewpoints. Aerial-ground cooper…
MiniUGV: A Compact UAV-Deployable Tracked Ground Vehicle with Manipulation Capabilities
Durgakant Pushp, Swapnil Kalhapure, Shaekh Mohammad Shithil +1
Exploring and inspecting \emph{Hidden Spaces}, defined as environments whose entrances are accessible only to aerial robots but remain unexplored due to geometric constraints, limi…
From Zero to High-Speed Racing: An Autonomous Racing Stack
Hassan Jardali, Durgakant Pushp, Youwei Yu +9
High-speed, head-to-head autonomous racing presents substantial technical and logistical challenges, including precise localization, rapid perception, dynamic planning, and real-ti…
Navigating the Wild: Pareto-Optimal Visual Decision-Making in Image Space
Durgakant Pushp, Weizhe Chen, Zheng Chen +3
Navigating complex real-world environments requires semantic understanding and adaptive decision-making. Traditional reactive methods without maps often fail in cluttered settings,…
Minimalistic Autonomous Stack for High-Speed Time-Trial Racing
Mahmoud Ali, Hassan Jardali, Youwei Yu +2
Autonomous racing has seen significant advancements, driven by competitions such as the Indy Autonomous Challenge (IAC) and the Abu Dhabi Autonomous Racing League (A2RL). However,…
AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation
Md. Al-Masrur Khan, Durgakant Pushp, Lantao Liu
In Unsupervised Domain Adaptive Semantic Segmentation (UDA-SS), a model is trained on labeled source domain data (e.g., synthetic images) and adapted to an unlabeled target domain…
Context-Generative Default Policy for Bounded Rational Agent
Durgakant Pushp, Junhong Xu, Zheng Chen +1
Bounded rational agents often make decisions by evaluating a finite selection of choices, typically derived from a reference point termed the default policy,' based on previous…
Visual-Geometry GP-based Navigable Space for Autonomous Navigation
Mahmoud Ali, Durgkant Pushp, Zheng Chen +1
Autonomous navigation in unknown environments is challenging and demands the consideration of both geometric and semantic information in order to parse the navigability of the envi…
POVNav: A Pareto-Optimal Mapless Visual Navigator
Durgakant Pushp, Zheng Chen, Chaomin Luo +2
Mapless navigation has emerged as a promising approach for enabling autonomous robots to navigate in environments where pre-existing maps may be inaccurate, outdated, or unavailabl…
Coordination of Bounded Rational Drones through Informed Prior Policy
Durgakant Pushp, Junhong Xu, Lantao Liu
Biological agents, such as humans and animals, are capable of making decisions out of a very large number of choices in a limited time. They can do so because they use their prior…
Pseudo-Trilateral Adversarial Training for Domain Adaptive Traversability Prediction
Zheng Chen, Durgakant Pushp, Jason M. Gregory +1
Traversability prediction is a fundamental perception capability for autonomous navigation. Deep neural networks (DNNs) have been widely used to predict traversability during the l…
Decision-Making Among Bounded Rational Agents
Junhong Xu, Durgakant Pushp, Kai Yin +1
When robots share the same workspace with other intelligent agents (e.g., other robots or humans), they must be able to reason about the behaviors of their neighboring agents while…
UAV-miniUGV Hybrid System for Hidden Area Exploration and Manipulation
Durgakant Pushp, Swapnil Kalhapure, Kaushik Das +1
We propose a novel hybrid system (both hardware and software) of an Unmanned Aerial Vehicle (UAV) carrying a miniature Unmanned Ground Vehicle (miniUGV) to perform a complex search…
CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation
Zheng Chen, Durgakant Pushp, Lantao Liu
Traversability prediction is a fundamental perception capability for autonomous navigation. The diversity of data in different domains imposes significant gaps to the prediction pe…