Search Results for author: P. B. Sujit

Found 9 papers, 1 papers with code

A Comprehensive Study on Modelling and Control of Autonomous Underwater Vehicle

no code implementations5 Dec 2023 Rajini Makam, Pruthviraj Mane, Suresh Sundaram, P. B. Sujit

Both conventional and nonlinear SMC controllers' outcomes are showcased with a lawn-mowing manoeuvre scenario.

Geometric Tracking Control of a Multi-rotor UAV for Partially Known Trajectories

no code implementations13 Nov 2023 Yogesh Kumar, S. B. Roy, P. B. Sujit

We formalize theoretically the effect of these filter structures on the system error dynamics.

Position

CAMEL: Learning Cost-maps Made Easy for Off-road Driving

no code implementations26 Sep 2022 Kasi Vishwanath, P. B. Sujit, Srikanth Saripalli

In this paper, we address the problem of learning the cost-map values from the sensed environment for robust vehicle path planning.

A Deep Learning Approach To Estimation Using Measurements Received Over a Network

no code implementations20 Jan 2022 Shivangi Agarwal, Sanjit K. Kaul, Saket Anand, P. B. Sujit

The measurements are communicated over a network as packets, at a rate unknown to the estimator.

NMPC-Based Cooperative Strategy For A Target Pair To Lure Two Attackers Into Collision

no code implementations13 Aug 2021 Amith Manoharan, P. B. Sujit

This paper presents a cooperative target defense strategy using nonlinear model-predictive control (NMPC) framework for a two--targets two--attackers (2T2A) game.

Model Predictive Control

OffRoadTranSeg: Semi-Supervised Segmentation using Transformers on OffRoad environments

no code implementations26 Jun 2021 Anukriti Singh, Kartikeya Singh, P. B. Sujit

We present OffRoadTranSeg, the first end-to-end framework for semi-supervised segmentation in unstructured outdoor environment using transformers and automatic data selection for labelling.

Autonomous Driving Depth Estimation +2

Context-Aware Deep Q-Network for Decentralized Cooperative Reconnaissance by a Robotic Swarm

no code implementations31 Jan 2020 Nishant Mohanty, Mohitvishnu S. Gadde, Suresh Sundaram, Narasimhan Sundararajan, P. B. Sujit

One of the crucial problems in robotic swarm-based operation is to search and neutralize heterogeneous targets in an unknown and uncertain environment, without any communication within the swarm.

Multiagent Systems

MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report

1 code implementation17 Oct 2019 Sagar Verma, Richa Verma, P. B. Sujit

We present a detailed analysis of how these two cooperation methods perform when the number of agents in the game are increased.

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