Section Overview

Publications

An Analysis of Streaming Deep Reinforcement Learning for Adaptive Continual Learning in Robotics

Teeratham Vitchutripop, Alyssa Quarles, Wenhe Zhang, Richard Xue, Daniel Rakita
Preprint 2026

APOLLO Blender: A Robotics Library for Visualization and Animation in Blender

Peter Messina, Daniel Rakita
Preprint 2026
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Beyond URDF: The Universal Robot Description Directory for Shared, Extensible, and Standardized Robot Models

Roshan Klein-Seetharaman, Daniel Rakita
Preprint 2026
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Deep learning approach for critical exposure during division of the inferior mesenteric artery in colorectal surgery

Jay Bader, Xiatao Sun, Tripp Rosenfelt, Alexis Ramirez-Hardy, Teeratham Vitchutripop, Haddon Pantel, Amit Khanna, Daniel Rakita
Journal: Journal of Robotic Surgery 2026
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Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning

Xiatao Sun, Yuxuan Wang, Shuo Yang, Yinxing Chen, Daniel Rakita
Conference: ICRA 2026
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Mesh RAG: Retrieval Augmentation for Autoregressive Mesh Generation

Xiatao Sun, Chen Liang, Qian Wang, Daniel Rakita
Preprint 2026
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Optimizing Active Perception for Learning Simultaneous Viewpoint Selection and Manipulation with Diffusion Policy

Xiatao Sun, Francis Fan, Yinxing Chen, Daniel Rakita
Preprint 2026
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PRISM-DP: Spatial Pose-based Observations for Diffusion-Policies via Segmentation, Mesh Generation, and Pose Tracking

Xiatao Sun, Yinxing Chen, Daniel Rakita
Preprint 2026
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Robust and Efficient MuJoCo-based Model Predictive Control via Web of Affine Spaces Derivatives

Chen Liang, Daniel Rakita
Preprint 2026
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SelfCollisionGen: A Robust Tool for Generating and Visualizing Robot Self-Collision Matrices

Roshan Klein-Seetharaman, Daniel Rakita
Preprint 2026
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Subsecond 3D Mesh Generation for Robot Manipulation

Qian Wang, Omar Abdellall, Tony Gao, Xiatao Sun, Daniel Rakita
Conference: ICRA 2026

Turning Stale Gradients into Stable Gradients: Coherent Coordinate Descent with Implicit Landscape Smoothing for Lightweight Zeroth-Order Optimization

Chen Liang, Xiatao Sun, Qian Wang, Daniel Rakita
Conference: ICML 2026

ad-trait: A Fast and Flexible Automatic Differentiation Library in Rust

Chen Liang, Qian Wang, Andy Xu, Daniel Rakita
Conference: IROS 2025 Differentiation Rust Robotics

Coherence-based Approximate Derivatives via Web of Affine Spaces Optimization

Daniel Rakita, Chen Liang, Qian Wang
Conference: RSS 2025 Differentiation

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training

Xiatao Sun, Shuo Yang, Yinxing Chen, Francis Fan, Yiyan Liang, Daniel Rakita
Conference: RSS 2025
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Towards Zero-Knowledge Task Planning via a Language-based Approach

Liam Merz Hoffmeister, Brian Scassellati, Daniel Rakita
Conference: IROS 2025 Task Planning LLMs

Sequential Discrete Action Selection via Blocking Conditions and Resolutions

Liam Merz Hoffmeister, Brian Scassellati, Daniel Rakita
Conference: IROS 2024
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An Analysis of Unified Manipulation with Robot Arms and Dexterous Hands via Optimization-based Motion Synthesis

Vatsal Patel, Daniel Rakita, Aaron Dollar
Conference: ICRA 2023
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Lively: Enabling Multimodal, Lifelike, and Extensible Real-time Robot Motion

Andrew Schoen, Dakota Sullivan, Ze Dong Zhang, Daniel Rakita, Bilge Mutlu
Conference: HRI 2023
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RangedIK: An Optimization-based Robot Motion Generation Method for Ranged-Goal Tasks

Yeping Wang, Pragathi Praveena, Daniel Rakita, Michael Gleicher
Conference: ICRA 2023
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PROXIMA: An Approach for Time or Accuracy Budgeted Collision Proximity Queries

Daniel Rakita, Bilge Mutlu, Michael Gleicher
Conference: RSS 2022
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MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets

Constantinos Chamzas, Carlos Quintero-Pena, Zachary Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E Kavraki
Journal: IEEE Robotics and Automation Letters 2021
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