Souma Chowdhury
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View article: AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation
AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation Open
Off-road navigation is essential for a wide range of applications in field robotics such as planetary exploration and disaster response. However, it remains an unresolved challenge due to the unstructured environments and inherent complexi…
View article: A Python Program to Compute the Effective Density of States in Conduction Band
A Python Program to Compute the Effective Density of States in Conduction Band Open
View article: A Python Program to compute the Drift Current and Carrier Concentration
A Python Program to compute the Drift Current and Carrier Concentration Open
View article: A Python Program on Fermi-Dirac Distribution
A Python Program on Fermi-Dirac Distribution Open
View article: A Python Program to Compute Density of States in Valence Band
A Python Program to Compute Density of States in Valence Band Open
View article: A Python Program to Compute the Hole Quasi-Fermi Energy Level in p-type 
A Python Program to Compute the Hole Quasi-Fermi Energy Level in p-type Open
View article: A Python Program to Compute Electron Concentration in terms of Effective Density of States in Conduction Band
A Python Program to Compute Electron Concentration in terms of Effective Density of States in Conduction Band Open
View article: A Python Program to compute the Diffusion Current for Holes and Electrons
A Python Program to compute the Diffusion Current for Holes and Electrons Open
View article: A Python Program to Compute the Potential Gradient from&nbsp;Energy Gradient <br>
A Python Program to Compute the Potential Gradient from Energy Gradient Open
View article: A Python Program to Compute the Effective Density of States in Valence Band
A Python Program to Compute the Effective Density of States in Valence Band Open
View article: <span>A Python Program to Compute the Electron Quasi-Fermi Energy Level in n-type&nbsp;</span>
<span>A Python Program to Compute the Electron Quasi-Fermi Energy Level in n-type </span> Open
View article: A Python Program to Compute the Ionization of p-type Materials
A Python Program to Compute the Ionization of p-type Materials Open
View article: A Python Program to Compute the Ionization of n-type Materials
A Python Program to Compute the Ionization of n-type Materials Open
View article: A Python Program to compute the Intrinsic Carrier Concentration
A Python Program to compute the Intrinsic Carrier Concentration Open
View article: A Python Program to Compute Hole Concentration in terms of Effective Density of States in Valence Band
A Python Program to Compute Hole Concentration in terms of Effective Density of States in Valence Band Open
View article: A Python Program to Compute Density of States in Conduction Band
A Python Program to Compute Density of States in Conduction Band Open
View article: A Python Program to Compute the Carrier Concentration at Extremely Low and High Temperatures
A Python Program to Compute the Carrier Concentration at Extremely Low and High Temperatures Open
View article: A Talent-infused Policy-gradient Approach to Efficient Co-Design of Morphology and Task Allocation Behavior of Multi-Robot Systems
A Talent-infused Policy-gradient Approach to Efficient Co-Design of Morphology and Task Allocation Behavior of Multi-Robot Systems Open
Interesting and efficient collective behavior observed in multi-robot or swarm systems emerges from the individual behavior of the robots. The functional space of individual robot behaviors is in turn shaped or constrained by the robot's m…
View article: A Graph-based Adversarial Imitation Learning Framework for Reliable & Realtime Fleet Scheduling in Urban Air Mobility
A Graph-based Adversarial Imitation Learning Framework for Reliable & Realtime Fleet Scheduling in Urban Air Mobility Open
The advent of Urban Air Mobility (UAM) presents the scope for a transformative shift in the domain of urban transportation. However, its widespread adoption and economic viability depends in part on the ability to optimally schedule the fl…
View article: Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator
Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator Open
Modeling thermal states for complex space missions, such as the surface exploration of airless bodies, requires high computation, whether used in ground-based analysis for spacecraft design or during onboard reasoning for autonomous operat…
View article: An Open-source Hardware/Software Architecture and Supporting Simulation Environment to Perform Human FPV Flight Demonstrations for Unmanned Aerial Vehicle Autonomy
An Open-source Hardware/Software Architecture and Supporting Simulation Environment to Perform Human FPV Flight Demonstrations for Unmanned Aerial Vehicle Autonomy Open
Small multi-rotor unmanned aerial vehicles (UAVs), mainly quadcopters, are nowadays ubiquitous in research on aerial autonomy, including serving as scaled-down models for much larger aircraft such as vertical-take-off-and-lift vehicles for…
View article: Towards Physically Talented Aerial Robots with Tactically Smart Swarm Behavior thereof: An Efficient Co-design Approach
Towards Physically Talented Aerial Robots with Tactically Smart Swarm Behavior thereof: An Efficient Co-design Approach Open
The collective performance or capacity of collaborative autonomous systems such as a swarm of robots is jointly influenced by the morphology and the behavior of individual systems in that collective. In that context, this paper explores ho…
View article: Real-time outage management in active distribution networks using reinforcement learning over graphs
Real-time outage management in active distribution networks using reinforcement learning over graphs Open
Self-healing smart grids are characterized by fast-acting, intelligent control mechanisms that minimize power disruptions during outages. The corrective actions adopted during outages in power distribution networks include reconfiguration …
View article: SHaSTA: An Open-Source Simulator for Human and Swarm Team Applications
SHaSTA: An Open-Source Simulator for Human and Swarm Team Applications Open
Human-swarm teaming combines the dynamic capabilities of robot swarms with the strategic cognition of humans to perform complex tasks. As robotic systems and unmanned vehicles gain enhanced autonomy, there is an imperative need for for a h…
View article: Distribution Network Restoration: Resource Scheduling Considering Coupled Transportation-Power Networks
Distribution Network Restoration: Resource Scheduling Considering Coupled Transportation-Power Networks Open
Optimal decision-making is key to efficient allocation and scheduling of repair resources (e.g., crews) to service affected nodes of large power grid networks. Traditional manual restoration methods are inadequate for modern smart grids sp…
View article: Bigraph Matching Weighted with Learnt Incentive Function for Multi-Robot Task Allocation
Bigraph Matching Weighted with Learnt Incentive Function for Multi-Robot Task Allocation Open
Most real-world Multi-Robot Task Allocation (MRTA) problems require fast and efficient decision-making, which is often achieved using heuristics-aided methods such as genetic algorithms, auction-based methods, and bipartite graph matching …
View article: Learning-Aided Control of Robotic Tether-Net with Maneuverable Nodes to Capture Large Space Debris
Learning-Aided Control of Robotic Tether-Net with Maneuverable Nodes to Capture Large Space Debris Open
Maneuverable tether-net systems launched from an unmanned spacecraft offer a promising solution for the active removal of large space debris. Guaranteeing the successful capture of such space debris is dependent on the ability to reliably …
View article: Graph Learning-based Fleet Scheduling for Urban Air Mobility under Operational Constraints, Varying Demand & Uncertainties
Graph Learning-based Fleet Scheduling for Urban Air Mobility under Operational Constraints, Varying Demand & Uncertainties Open
This paper develops a graph reinforcement learning approach to online planning of the schedule and destinations of electric aircraft that comprise an urban air mobility (UAM) fleet operating across multiple vertiports. This fleet schedulin…
View article: Scalable and Load-Balanced Coverage Path Planning for Multiple Unmanned Aerial Vehicles Jointly Surveying Non-Convex Areas
Scalable and Load-Balanced Coverage Path Planning for Multiple Unmanned Aerial Vehicles Jointly Surveying Non-Convex Areas Open
View article: Optimal selection of time windows for preventive maintenance of offshore wind farms subject to wake losses
Optimal selection of time windows for preventive maintenance of offshore wind farms subject to wake losses Open
The maintenance of wind farms is one of the major factors affecting their profitability. During preventive maintenance, the shutdown of wind turbines causes downtime energy losses. The selection of when and which turbines to maintain can s…