<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Robot Papers</title><link>https://robotpapers.com</link><description>Latest robotics papers and engineering-ready research.</description><item><title><![CDATA[Ace! Motion Planning of Professional-Level Table Tennis Serves with a Robot Arm]]></title><link>https://robotpapers.com/papers/ace-motion-planning-of-professional-level-table-tennis-serves-with-a-robot-arm</link><description><![CDATA[A robotics research paper on Ace! Motion Planning of Professional-Level Table Tennis Serves with a Robot Arm.]]></description></item><item><title><![CDATA[Safe Reinforcement Learning using Ideas from Model Predictive Control]]></title><link>https://robotpapers.com/papers/safe-reinforcement-learning-using-ideas-from-model-predictive-control</link><description><![CDATA[A robotics research paper on Safe Reinforcement Learning using Ideas from Model Predictive Control.]]></description></item><item><title><![CDATA[Behavior Foundations for Quadruped Robots: ABot-C0 Technical Report]]></title><link>https://robotpapers.com/papers/behavior-foundations-for-quadruped-robots-abot-c0-technical-report</link><description><![CDATA[A robotics research paper on Behavior Foundations for Quadruped Robots: ABot-C0 Technical Report.]]></description></item><item><title><![CDATA[Communicative Efficiency of Single vs. Multi-Axis Robot Neck Motion]]></title><link>https://robotpapers.com/papers/communicative-efficiency-of-single-vs-multi-axis-robot-neck-motion</link><description><![CDATA[A robotics research paper on Communicative Efficiency of Single vs. Multi-Axis Robot Neck Motion.]]></description></item><item><title><![CDATA[Initiation Safety: A Missing Dimension in Generalist-Robot Safety]]></title><link>https://robotpapers.com/papers/initiation-safety-a-missing-dimension-in-generalist-robot-safety</link><description><![CDATA[A robotics research paper on Initiation Safety: A Missing Dimension in Generalist-Robot Safety.]]></description></item><item><title><![CDATA[Residual-Conservative Model Predictive Path Integral Control]]></title><link>https://robotpapers.com/papers/residual-conservative-model-predictive-path-integral-control</link><description><![CDATA[A robotics research paper on Residual-Conservative Model Predictive Path Integral Control.]]></description></item><item><title><![CDATA[SPECTRA: Context-Conditioned Spectral Movement Primitives for Robot Skill Generalization]]></title><link>https://robotpapers.com/papers/spectra-context-conditioned-spectral-movement-primitives-for-robot-skill-generalization</link><description><![CDATA[A robotics research paper on SPECTRA: Context-Conditioned Spectral Movement Primitives for Robot Skill Generalization.]]></description></item><item><title><![CDATA[WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time]]></title><link>https://robotpapers.com/papers/wam-ttt-steering-world-action-models-by-watching-human-play-at-test-time</link><description><![CDATA[A robotics research paper on WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time.]]></description></item><item><title><![CDATA[A Closed-Loop Multi-Agent Framework for Robust Multi-Robot Manipulation]]></title><link>https://robotpapers.com/papers/a-closed-loop-multi-agent-framework-for-robust-multi-robot-manipulation</link><description><![CDATA[A robotics research paper on A Closed-Loop Multi-Agent Framework for Robust Multi-Robot Manipulation.]]></description></item><item><title><![CDATA[PriGo: Test-Time Primitive Guidance to Diffusion and Flow Policies for Adaptive Robotic Manipulation]]></title><link>https://robotpapers.com/papers/prigo-test-time-primitive-guidance-to-diffusion-and-flow-policies-for-adaptive-robotic-manipulation</link><description><![CDATA[A robotics research paper on PriGo: Test-Time Primitive Guidance to Diffusion and Flow Policies for Adaptive Robotic Manipulation.]]></description></item><item><title><![CDATA[GeoProp: Grounding Robot State in Vision for Generalist Manipulation]]></title><link>https://robotpapers.com/papers/geoprop-grounding-robot-state-in-vision-for-generalist-manipulation</link><description><![CDATA[A robotics research paper on GeoProp: Grounding Robot State in Vision for Generalist Manipulation.]]></description></item><item><title><![CDATA[Compositional Motion Generation from Demonstration with Object-Centric Neural Fields]]></title><link>https://robotpapers.com/papers/compositional-motion-generation-from-demonstration-with-object-centric-neural-fields</link><description><![CDATA[A robotics research paper on Compositional Motion Generation from Demonstration with Object-Centric Neural Fields.]]></description></item><item><title><![CDATA[TouchWorld: A Predictive and Reactive Tactile Foundation Model for Dexterous Manipulation]]></title><link>https://robotpapers.com/papers/touchworld-a-predictive-and-reactive-tactile-foundation-model-for-dexterous-manipulation</link><description><![CDATA[A robotics research paper on TouchWorld: A Predictive and Reactive Tactile Foundation Model for Dexterous Manipulation.]]></description></item><item><title><![CDATA[Multi-Agent Robotic Control with Onboard Vision-Language Models]]></title><link>https://robotpapers.com/papers/multi-agent-robotic-control-with-onboard-vision-language-models</link><description><![CDATA[A robotics research paper on Multi-Agent Robotic Control with Onboard Vision-Language Models.]]></description></item><item><title><![CDATA[Immersive Social Interaction with VR and LLM-Assisted Humanoids]]></title><link>https://robotpapers.com/papers/immersive-social-interaction-with-vr-and-llm-assisted-humanoids</link><description><![CDATA[A robotics research paper on Immersive Social Interaction with VR and LLM-Assisted Humanoids.]]></description></item><item><title><![CDATA[EmbodiedGen V2: An Agentic, Simulation-Ready 3D World Engine for Embodied AI]]></title><link>https://robotpapers.com/papers/embodiedgen-v2-an-agentic-simulation-ready-3d-world-engine-for-embodied-ai</link><description><![CDATA[A robotics research paper on EmbodiedGen V2: An Agentic, Simulation-Ready 3D World Engine for Embodied AI.]]></description></item><item><title><![CDATA[Smooth Operator: A Real-Time Sampling-Based Algorithm for Kinematic Hand Retargeting]]></title><link>https://robotpapers.com/papers/smooth-operator-a-real-time-sampling-based-algorithm-for-kinematic-hand-retargeting</link><description><![CDATA[A robotics research paper on Smooth Operator: A Real-Time Sampling-Based Algorithm for Kinematic Hand Retargeting.]]></description></item><item><title><![CDATA[Context-Aware Force Estimation for Deformable Tool Manipulation in Robotic Environmental Swabbing via Few-Shot Continual Adaptation]]></title><link>https://robotpapers.com/papers/context-aware-force-estimation-for-deformable-tool-manipulation-in-robotic-environmental-swabbing-via-few-shot-continual-adaptation</link><description><![CDATA[A robotics research paper on Context-Aware Force Estimation for Deformable Tool Manipulation in Robotic Environmental Swabbing via Few-Shot Continual Adaptation.]]></description></item><item><title><![CDATA[Dual Latent Memory in Vision-Language-Action Models for Robotic Manipulation]]></title><link>https://robotpapers.com/papers/dual-latent-memory-in-vision-language-action-models-for-robotic-manipulation</link><description><![CDATA[A robotics research paper on Dual Latent Memory in Vision-Language-Action Models for Robotic Manipulation.]]></description></item><item><title><![CDATA[Asymmetric Focal Loss Improves Graph Neural Network Prediction of Drug-Drug Interactions]]></title><link>https://robotpapers.com/papers/asymmetric-focal-loss-improves-graph-neural-network-prediction-of-drug-drug-interactions</link><description><![CDATA[A robotics research paper on Asymmetric Focal Loss Improves Graph Neural Network Prediction of Drug-Drug Interactions.]]></description></item></channel></rss>