Ongoing Semantic and Active SLAM with Behavior Learning (SASBL) Combines semantic SLAM, active exploration, and behavioral learning. Behavioral and Motion Planner Coordination (BBPC) Setup and Exploration of Relation between the Behavioral Planner and Motion Planner for an Autonomous Vehicle in Dynamic Environments. Semantic Navigation for Robots (SNFR) Navigation using semantic scene understanding (e.g., object recognition). Collaborative Simultaneous Localization and Mapping (CSLAM) Algorithm enabling SLAM in low-powered devices with real-time collaboration. Autonomous Driving in Adverse Conditions (ADAC) Self-driving systems optimized for extreme weather, poor visibility, etc. Exploration of Learning and Classical Approaches for Navigation Navigation without HD maps using hybrid learning/classical methods. Development of a self-operating passenger drone Design and Fabrication of Autonomous Passenger Drone (DFAPD) Task and Motion Planning for Visual Object Rearrangement Planning and executing object rearrangement tasks using vision Robotics Courseware (RC) Educational/training materials for industries and startups in robotics. Government Center for Artificial Intelligence and Robotics (CAIR) DRDO lab focused on AI and robotics Predictable Performance Algorithms for Algorithms for reliable multi-robot surveillance. CAIR-DRDO Mobile Robot Navigation Development of algorithms for mobile robot navigation Digital Terrain Estimation using LADAR System (DTELS) Terrain mapping with LADAR Simultaneous Localization and Mapping (SLAM) Truly autonomous mobile robot navigation Snake Robots for Outdoor Applications Design and deployment of snake robots for rugged environments. SLAM for Autonomous Navigation (BRNS-BARC) SLAM development/testing Snake Robots for Search and Rescue (DRDO-Extra Mural) DRDO-funded external project for rescue robots. Autonomous Navigation Algorithms for Outdoor Environments Algorithms for unstructured outdoor navigation. Vision-Based Algorithms for Outdoor Navigation (VBAON) Vision-driven navigation in outdoor settings. Behavioral and Motion Planner Coordination (BBPC) Setup and Exploration of Relation between the Behavioral Planner and Motion Planner for an Autonomous Vehicle in Dynamic Environments. Vision-Based Localization and SLAM (VBL-SLAM) Combines vision-based localization with SLAM. Localization and Navigation in GPS-Denied Environments (LNGDE) Navigation without GPS reliance. Multi-Robot Autonomous Exploration, Localization, and Mapping Collaborative multi-robot SLAM. Behavioral and Motion Planner Coordination (BBPC) Setup and Exploration of Relation between the Behavioral Planner and Motion Planner for an Autonomous Vehicle in Dynamic Environments. Behavioral and Motion Planner Coordination (BBPC) Setup and Exploration of Relation between the Behavioral Planner and Motion Planner for an Autonomous Vehicle in Dynamic Environments. Collaborative Simultaneous Localization and Mapping (CSLAM) Algorithm enabling SLAM in low-powered devices with real-time collaboration. Development of a self-operating passenger drone Design and Fabrication of Autonomous Passenger Drone (DFAPD) Private Parallelized Segmentation for Monocular Cameras with Temporal Real-time segmentation for monocular vision. Integrated Indoor Navigation System (UURMI) Unified Urban Robotics Mobility Interface. Independent Motion Detection/Segmentation for Moving Monocular Cameras (IMDMMC) Motion analysis for monocular systems. RCS Framework Exploration and Implementation (RFEI) Robotic Control System (RCS) framework development. Solution in the Mahindra Rise Driverless Car Challenge (SMDCC) Competition entry for autonomous driving. Autonomous Driving for Indian Roads (QIF) Quadricycle for Indian Food Autonomous Urban Exploration (AUE) Navigation in urban environments without human intervention. Fast Obstacle Avoidance for Quadrotor Systems (FOAQS) Real-time obstacle avoidance for drones. SMDCC Phase 2 Continuation of the Mahindra Rise Challenge entry. RRC-AUE2-RockwellCol Phase 2 of Autonomous Urban Exploration Safe Navigation Requirements in Unstructured Conditions (SNRUC) Safety protocols for unpredictable environments TopoMap for Sensory Data (RRC-RAPYUTA-TIAT) Topological mapping using sensors Autonomous Urban Exploration Phase III (AUE-Ph-III) Advanced phase of urban exploration. Center for Artificial Intelligence and Robotics (CAIR) DRDO lab focused on AI and robotics Semantic and Active SLAM with Behavior Learning (SASBL) Combines semantic SLAM, active exploration, and behavioral learning. Semantic Navigation for Robots (SNFR) Navigation using semantic scene understanding (e.g., object recognition). Exploration of Learning and Classical Approaches for Navigation Navigation without HD maps using hybrid learning/classical methods. Autonomous Driving in Adverse Conditions (ADAC) Self-driving systems optimized for extreme weather, poor visibility, etc. Task and Motion Planning for Visual Object Rearrangement Planning and executing object rearrangement tasks using vision Robotics Courseware (RC) Educational/training materials for industries and startups in robotics.
