Devin Z[Book Notes] Variational Autoencoders and Diffusion ModelsUnderstanding key technologies behind image generation.Mar 31, 2024Mar 31, 2024
Devin Z[Paper Notes] Wayformer: Motion Forecasting via Simple & Efficient Attention NetworksApplication of transformer models in autonomous driving.Feb 5, 2024Feb 5, 2024
Devin Z[Book Notes] TransformersThe architecture powering large language models.Jan 29, 2024Jan 29, 2024
Devin ZA Tour of the Markov Decision ProcessDP, POMDP, RL, and where you could learn more.Dec 26, 2020Dec 26, 2020
Devin ZPlane Sweep for Roadmap ConstructionApply computational geometry to motion planning.Dec 6, 2021Dec 6, 2021
Devin ZNotes on Mechanics for Robot MotionMotion planning under differential constraints.Jun 18, 2023Jun 18, 2023
Devin ZNotes on Convex OptimizationTakeaways from related lecture slides and notes.Jan 30, 2023Jan 30, 2023
Devin Z[Lecture Notes] Introduction to Linear Dynamical SystemsFacts and tricks about matrices.Sep 23, 2023Sep 23, 2023
Devin Z[Lecture Notes] Linear Quadratic Regulator (LQR)Lecture notes from CMU 16–745 Optimal Control (Spring 2023).Aug 5, 2023Aug 5, 2023
Devin Z[Book Notes] Deep LearningThe subject that underpins today’s generative AI.Apr 9, 2023Apr 9, 2023
Devin Z[Paper Notes] NeRF: Representing Scenes as Neural Radiance Fields for View SynthesisA pioneer work of the recent 3D reconstruction breakthroughs.Sep 5, 2023Sep 5, 2023
Devin Z[Paper Notes] Joint Multi-Policy Behavior Estimation and Receding-Horizon Trajectory Planning for…Integrating online POMDP and MPC.Sep 2, 2023Sep 2, 2023
Devin Z[Paper Notes] MPDM: Multipolicy Decision-Making in Dynamic, Uncertain Environments for Autonomous…POMDP formulation for interaction-aware planning.Aug 26, 2023Aug 26, 2023
Devin Z[Paper Notes] The Combinatorial Aspect of Motion Planning: Maneuver Variants in Structured…Uncertainty-agnostic constraint set enumeration.Aug 19, 2023Aug 19, 2023
Devin Z[Paper Notes] Partitioning of the Free Space-Time for On-Road Navigation of Autonomous Ground…Topological planning in a discretized STL graph.Aug 12, 2023Aug 12, 2023
Devin Z[Paper Notes] Contingency Planning Over Probabilistic Obstacle Predictions for Autonomous Road…Incorporation of probabilistic obstacle predictions.Jul 29, 2023Jul 29, 2023
Devin Z[Paper Notes] Multi-World Motion PlanningBranched constraint sets for multi-modal obstacle predictions.Jul 22, 2023Jul 22, 2023
Devin Z[Paper Notes] Planning for Autonomous Cars that Leverage Effects on Human ActionsCommunicative planning based on reactive obstacle prediction.Jul 15, 2023Jul 15, 2023
Devin Z[Paper Notes] Bicycle Models and Frenét CoordinatesMathematical takeaways from three papers.Jul 8, 2023Jul 8, 2023
Devin Z[Paper Notes] Rapidly-Exploring Random Trees (RRT)An archetypal sampling-based planning algorithm.Jul 1, 2023Jul 1, 2023
![[Book Notes] Variational Autoencoders and Diffusion Models](https://miro.medium.com/v2/resize:fill:160:106/1*5GypUq_0HOAS8tB_gsBW0Q.jpeg)
![[Book Notes] Variational Autoencoders and Diffusion Models](https://miro.medium.com/v2/resize:fill:320:214/1*5GypUq_0HOAS8tB_gsBW0Q.jpeg)
![[Paper Notes] Wayformer: Motion Forecasting via Simple & Efficient Attention Networks](https://miro.medium.com/v2/resize:fill:160:106/1*4HjBiszJyvnnaB_vjA5rdg.jpeg)
![[Paper Notes] Wayformer: Motion Forecasting via Simple & Efficient Attention Networks](https://miro.medium.com/v2/resize:fill:320:214/1*4HjBiszJyvnnaB_vjA5rdg.jpeg)
![[Book Notes] Transformers](https://miro.medium.com/v2/resize:fill:160:106/1*PCyX-wFJIoQSmFpoKmiGAA.jpeg)
![[Book Notes] Transformers](https://miro.medium.com/v2/resize:fill:320:214/1*PCyX-wFJIoQSmFpoKmiGAA.jpeg)
![[Lecture Notes] Introduction to Linear Dynamical Systems](https://miro.medium.com/v2/resize:fill:160:106/1*AZdhhDQQecIseemiZHpw7w.jpeg)
![[Lecture Notes] Introduction to Linear Dynamical Systems](https://miro.medium.com/v2/resize:fill:320:214/1*AZdhhDQQecIseemiZHpw7w.jpeg)
![[Lecture Notes] Linear Quadratic Regulator (LQR)](https://miro.medium.com/v2/resize:fill:160:106/1*k5oXlNR-MAyQ6bI0o5fwxA.jpeg)
![[Lecture Notes] Linear Quadratic Regulator (LQR)](https://miro.medium.com/v2/resize:fill:320:214/1*k5oXlNR-MAyQ6bI0o5fwxA.jpeg)
![[Book Notes] Deep Learning](https://miro.medium.com/v2/resize:fill:160:106/1*-Pz8rXMsz35RSqB9ZStHDg.jpeg)
![[Book Notes] Deep Learning](https://miro.medium.com/v2/resize:fill:320:214/1*-Pz8rXMsz35RSqB9ZStHDg.jpeg)
![[Paper Notes] NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis](https://miro.medium.com/v2/resize:fill:160:106/1*vVgepvWIF3-k4V4TWUQwSA.jpeg)
![[Paper Notes] NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis](https://miro.medium.com/v2/resize:fill:320:214/1*vVgepvWIF3-k4V4TWUQwSA.jpeg)
![[Paper Notes] Joint Multi-Policy Behavior Estimation and Receding-Horizon Trajectory Planning for…](https://miro.medium.com/v2/resize:fill:160:106/1*8X8wx5E3kfCwvJrZUMktPw.jpeg)
![[Paper Notes] Joint Multi-Policy Behavior Estimation and Receding-Horizon Trajectory Planning for…](https://miro.medium.com/v2/resize:fill:320:214/1*8X8wx5E3kfCwvJrZUMktPw.jpeg)
![[Paper Notes] MPDM: Multipolicy Decision-Making in Dynamic, Uncertain Environments for Autonomous…](https://miro.medium.com/v2/resize:fill:160:106/1*bA39Vb7zkKyxTU-mKAizEg.jpeg)
![[Paper Notes] MPDM: Multipolicy Decision-Making in Dynamic, Uncertain Environments for Autonomous…](https://miro.medium.com/v2/resize:fill:320:214/1*bA39Vb7zkKyxTU-mKAizEg.jpeg)
![[Paper Notes] The Combinatorial Aspect of Motion Planning: Maneuver Variants in Structured…](https://miro.medium.com/v2/resize:fill:160:106/1*o2rprPOcsLnDYefu3gYc3g.jpeg)
![[Paper Notes] The Combinatorial Aspect of Motion Planning: Maneuver Variants in Structured…](https://miro.medium.com/v2/resize:fill:320:214/1*o2rprPOcsLnDYefu3gYc3g.jpeg)
![[Paper Notes] Partitioning of the Free Space-Time for On-Road Navigation of Autonomous Ground…](https://miro.medium.com/v2/resize:fill:160:106/1*yq3eMxEqBMbldOWAEt2Atg.jpeg)
![[Paper Notes] Partitioning of the Free Space-Time for On-Road Navigation of Autonomous Ground…](https://miro.medium.com/v2/resize:fill:320:214/1*yq3eMxEqBMbldOWAEt2Atg.jpeg)
![[Paper Notes] Contingency Planning Over Probabilistic Obstacle Predictions for Autonomous Road…](https://miro.medium.com/v2/resize:fill:160:106/1*5haVE5FIDHTLTBrR8cNviA.jpeg)
![[Paper Notes] Contingency Planning Over Probabilistic Obstacle Predictions for Autonomous Road…](https://miro.medium.com/v2/resize:fill:320:214/1*5haVE5FIDHTLTBrR8cNviA.jpeg)
![[Paper Notes] Multi-World Motion Planning](https://miro.medium.com/v2/resize:fill:160:106/1*7Qe_ESco8eyZKvDNT-Cvgg.jpeg)
![[Paper Notes] Multi-World Motion Planning](https://miro.medium.com/v2/resize:fill:320:214/1*7Qe_ESco8eyZKvDNT-Cvgg.jpeg)
![[Paper Notes] Planning for Autonomous Cars that Leverage Effects on Human Actions](https://miro.medium.com/v2/resize:fill:160:106/1*8QPc5IM3KJ02l3CIAEmoGw.jpeg)
![[Paper Notes] Planning for Autonomous Cars that Leverage Effects on Human Actions](https://miro.medium.com/v2/resize:fill:320:214/1*8QPc5IM3KJ02l3CIAEmoGw.jpeg)
![[Paper Notes] Bicycle Models and Frenét Coordinates](https://miro.medium.com/v2/resize:fill:160:106/1*SRUu4Fl8SPc-BtCWEOw94w.jpeg)
![[Paper Notes] Bicycle Models and Frenét Coordinates](https://miro.medium.com/v2/resize:fill:320:214/1*SRUu4Fl8SPc-BtCWEOw94w.jpeg)
![[Paper Notes] Rapidly-Exploring Random Trees (RRT)](https://miro.medium.com/v2/resize:fill:160:106/1*qs0f4-jgmlrxeJam6-5UlA.jpeg)
![[Paper Notes] Rapidly-Exploring Random Trees (RRT)](https://miro.medium.com/v2/resize:fill:320:214/1*qs0f4-jgmlrxeJam6-5UlA.jpeg)
