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Showing 1126–1150 of 1982 papers

TitleStatusHype
Design and validation of a fuzzy logic controller for multi-section continuum robots—0
Designing for the Long Tail of Machine Learning—0
Designing Robust Linear Output Feedback Controller based on CLF-CBF framework via Linear~Programming(LP-CLF-CBF)—0
Design of a Low-Cost Prototype Underwater Vehicle—0
Design Optimizer for Planar Soft-Growing Robot Manipulators—0
Detecting Biological Locomotion in Video: A Computational Approach—0
Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance Learning—0
Detecting the presence of sperm whales echolocation clicks in noisy environments—0
Developing a Conversational Recommendation System for Navigating Limited Options—0
Development of a conversing and body temperature scanning autonomously navigating robot to help screen for COVID-19—0
Devil's Advocate: Anticipatory Reflection for LLM Agents—0
Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning—0
Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs—0
"Did You Hear That?" Learning to Play Video Games from Audio Cues—0
Differentiable Algorithm Networks for Composable Robot Learning—0
Diffusion as Reasoning: Enhancing Object Goal Navigation with LLM-Biased Diffusion Model—0
Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task—0
Direct learning of home vector direction for insect-inspired robot navigation—0
Disambiguate Entity Matching using Large Language Models through Relation Discovery—0
Discrete Control in Real-World Driving Environments using Deep Reinforcement Learning—0
Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation—0
Self-Reflective Terrain-Aware Robot Adaptation for Consistent Off-Road Ground Navigation—0
Self-supervised cost of transport estimation for multimodal path planning—0
Semantic Enrichment of Pretrained Embedding Output for Unsupervised IR—0
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders—0
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