David Howard

収録論文 48本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Generalized Task-Driven Design of Soft Robots via Reduced-Order FEM-based Surrogate Modeling
  2026/3/1
• HRI-SA: A Multimodal Dataset for Online Assessment of Human Situational Awareness during Remote Human-Robot Teaming
  2026/3/1
• RAPT: Model-Predictive Out-of-Distribution Detection and Failure Diagnosis for Sim-to-Real Humanoid Deployment
  2026/2/1
• Grasp Synthesis Matching From Rigid To Soft Robot Grippers Using Conditional Flow Matching
  2026/2/1
• ReefFlex: A Generative Design Framework for Soft Robotic Grasping of Organic and Fragile objects
  2026/2/1
• SimTO: A two-stage, simulation-driven topology optimization framework for bespoke soft robotic grippers
  2026/1/1
• Soft Pneumatic Grippers: Topology optimization, 3D-printing and Experimental validation
  2025/11/1
• Programmable Telescopic Soft Pneumatic Actuators for Deployable and Shape Morphing Soft Robots
  2025/11/1
• An Experimental Characterization of Mechanical Layer Jamming Systems
  2025/11/1
• Scalable Multi-Objective Robot Reinforcement Learning through Gradient Conflict Resolution
  2025/9/18
• Scalable Multi-Objective Robot Reinforcement Learning through Gradient Conflict Resolution
  2025/9/1
• 3D Printable Soft Liquid Metal Sensors for Delicate Manipulation Tasks
  2025/9/1
• A Framework for Dynamic Situational Awareness in Human Robot Teams: An Interview Study
  2025/1/1
• SoGraB: A Visual Method for Soft Grasping Benchmarking and Evaluation
  2024/11/1
• DexGrip: Multi-modal Soft Gripper with Dexterous Grasping and In-hand Manipulation Capacity
  2024/11/1
• Whole-Body Dynamic Throwing with Legged Manipulators
  2024/10/1
• PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers
  2024/7/1
• A 'MAP' to find high-performing soft robot designs: Traversing complex design spaces using MAP-elites and Topology Optimization
  2024/7/1
• A Review of Differentiable Simulators
  2024/7/1
• Hybrid Soft Electrostatic Metamaterial Gripper for Multi-surface, Multi-object Adaptation
  2024/3/1
• Alternative Interfaces for Human-initiated Natural Language Communication and Robot-initiated Haptic Feedback: Towards Better Situational Awareness in Human-Robot Collaboration
  2024/1/1
• Fin-QD: A Computational Design Framework for Soft Grippers: Integrating MAP-Elites and High-fidelity FEM
  2023/11/1
• A Compliant Robotic Leg Based on Fibre Jamming
  2023/8/1
• The Jamming Donut: A Free-Space Gripper based on Granular Jamming
  2022/12/1
• Active Vibration Fluidization for Granular Jamming Grippers
  2022/12/1
• A Comprehensive Dataset of Grains for Granular Jamming in Soft Robotics: Grip Strength and Shock Absorption
  2022/12/1
• Human-Robot Team Performance Compared to Full Robot Autonomy in 16 Real-World Search and Rescue Missions: Adaptation of the DARPA Subterranean Challenge
  2022/12/1
• Automated design of pneumatic soft grippers through design-dependent multi-material topology optimization
  2022/11/1
• EvoRobogami: Co-designing with Humans in Evolutionary Robotics Experiments
  2022/5/1
• Assessing Evolutionary Terrain Generation Methods for Curriculum Reinforcement Learning
  2022/3/1
• Getting a Grip: in Materio Evolution of Membrane Morphology for Soft Robotic Jamming Grippers
  2021/11/1
• Jammkle: Fibre jamming 3D printed multi-material tendons and their application in a robotic ankle
  2021/9/1
• Vibration Improves Performance in Granular Jamming Grippers
  2021/9/1
• Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad)
  2021/9/1
• Shape, Size, and Fabrication Effects in 3D Printed Granular Jamming Grippers
  2021/4/1
• Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification
  2020/11/1
• Path Towards Multilevel Evolution of Robots
  2020/6/1
• Real World Morphological Evolution is Feasible
  2020/5/1
• Diversity-based Design Assist for Large Legged Robots
  2020/4/1
• Environmental Adaptation of Robot Morphology and Control through Real-world Evolution
  2020/3/1
• Traversing the Reality Gap via Simulator Tuning
  2020/3/1
• Towards Crossing the Reality Gap with Evolved Plastic Neurocontrollers
  2020/2/1
• Benchmarking Simulated Robotic Manipulation through a Real World Dataset
  2019/11/1
• Evolving Spiking Neural Networks for Nonlinear Control Problems
  2019/3/1
• Comparing Direct and Indirect Representations for Environment-Specific Robot Component Design
  2019/1/1
• Evolving embodied intelligence from materials to machines
  2019/1/1
• Quantifying the Reality Gap in Robotic Manipulation Tasks
  2018/11/1
• Towards the Targeted Environment-Specific Evolution of Robot Components
  2018/10/1