A Comprehensive Survey of Robot Manipulation and Motion Control
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A comprehensive survey of robot manipulation and motion control: covering kinematics, dynamics, Jacobians, force closure, imitation learning, and state-space control methods.
Blog
Geometric Visual Illusions as Inductive Biases for Vision Models
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Research notes on leveraging geometric visual illusions as perceptual inductive biases for vision models — the foundational exploration behind the InDL dataset and related publications.
UIST2023 Generative Agents: Interactive Simulacra of Human Behavior
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A detailed review of the UIST 2023 paper “Generative Agents: Interactive Simulacra of Human Behavior,” analyzing its memory-reflection architecture for believable agent simulation.
PI Week6 The Human Element
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Argues that human judgment remains irreplaceable in AI systems — examining cases where over-automation fails and where human-in-the-loop design is essential.
PI Week5 Bias and Fairness
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Investigates algorithmic bias and fairness — how training data and model design choices encode societal biases, and technical approaches to measuring and mitigating unfairness.
PI Week4 Data Ownership
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Discusses data justice: the ethical collection, ownership, and use of data, particularly how marginalized communities are affected by extractive data practices.
PI Week3 Power
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Examines power dynamics in AI development — how concentrated computational and data resources shape algorithmic outcomes and reinforce structural inequalities.
PI Week2 Responsibility
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Explores the concept of responsibility in AI systems: who is accountable when autonomous systems cause harm, and how to design for responsible deployment.
A Practical Guide to Research Team Collaboration
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A team collaboration guide for research groups: avoiding common pitfalls in multi-author projects, managing revisions, and maintaining research integrity.
How to Write Papers Efficiently
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Practical advice on academic paper writing — from structuring arguments to navigating peer review — with a focus on efficiency and impact.
GNN Recap
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A concise recap of Graph Neural Networks, focusing on adjacency matrices, modality fusion via GNNs, and connections to attention mechanisms.
Entropy of the Multivariate Gaussian Distribution
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Derives the entropy formula for multivariate Gaussian distributions, explaining its relationship to covariance and its significance in information theory.
How to Structure an Academic Paper
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Analyzes the standard structure of academic papers — from abstract and introduction through methods, results, and conclusion — with practical writing guidance.
What Is Topology? A Gentle Introduction
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An accessible introduction to topology: the study of properties preserved under continuous deformation, illustrated through rubber-sheet geometry and real-world examples.
A Survey of Programming Paradigms
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A structured overview of major programming paradigms — procedural, object-oriented, functional, and aspect-oriented — with comparisons across 27 recognized paradigms.
What MVC Architecture Can Teach Us About Life
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Reflects on how the Model-View-Controller software architecture can serve as a mental model for structuring everyday life planning and decision-making.
Why singleton design pattern is evil
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Examines whether the singleton design pattern qualifies as an anti-pattern, discussing legitimate use cases versus situations where it introduces hidden coupling and testability issues.
Tabulation v.s. Recursion with Memory (Dynamic programming)
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Compares bottom-up dynamic programming with top-down recursion-with-memoization — arguing they are fundamentally similar approaches that both prune the recursion tree for polynomial-time computation.