A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | AA | AB | AC | AD | AE | AF | |
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1 | Day | Date | Paper type | Bonus points | Presenter 1 | Presenter 2 | Section | Theme | Paper | |||||||||||||||||||||||
2 | 1 | Jan 21 | Paper 1 | 3 | vdean | vdean | Low-level skills | Bipedal Locomotion | Experiments in Balance with a 3D One-Legged Hopping Machine | 0 | ||||||||||||||||||||||
3 | 1 | Jan 21 | Paper 2 | 3 | vdean | vdean | Low-level skills | Bipedal Locomotion | DeepLoco: Dynamic Locomotion Skills Using Hierarchical Deep Reinforcement Learning | 0 | ||||||||||||||||||||||
4 | 2 | Jan 23 | Paper 1 | 2.46 | adeka | Low-level skills | Robot Acrobatics | Control of a Biped Somersault in 3D | 1 | |||||||||||||||||||||||
5 | 2 | Jan 23 | Paper 2 | 2.46 | hsikchi | vidhij | Low-level skills | Robot Acrobatics | SFV: Reinforcement Learning of Physical Skills from Videos | 1 | ||||||||||||||||||||||
6 | 3 | Jan 28 | Paper 1 | 2.01 | adeka | yiheh | Low-level skills | Flight / Aerial Robotics | Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing | 2 | ||||||||||||||||||||||
7 | 3 | Jan 28 | Paper 2 | 2.01 | haithanp | yufeiw2 | Low-level skills | Flight / Aerial Robotics | Deep Drone Racing: From Simulation to Reality with Domain Randomization | 2 | ||||||||||||||||||||||
8 | 4 | Jan 30 | Paper 1 | 1.65 | dkv | hansk | Low-level skills | Drifting | Autonomous Drifting using Simulation-Aided Reinforcement Learning | 3 | ||||||||||||||||||||||
9 | 4 | Jan 30 | Paper 2 | 1.65 | dkv | hansk | Low-level skills | Drifting | Information Theoretic MPC for Model-Based Reinforcement Learning | 3 | ||||||||||||||||||||||
10 | 5 | Feb 4 | Paper 1 | 1.35 | dkv | hansk | Low-level skills | Drifting | Toward Automated Vehicle Control Beyond the Stability Limits: Drifting Along a General Path | 4 | ||||||||||||||||||||||
11 | 5 | Feb 4 | Paper 2 | 1.35 | jivasque | Low-level skills | Drifting | Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics | 4 | |||||||||||||||||||||||
12 | 6 | Feb 6 | Paper 1 | 1.1 | giyer | vidhij | Low-level skills | Throwing / Catching | Catching objects in flight | 5 | ||||||||||||||||||||||
13 | 6 | Feb 6 | Paper 2 | 1.1 | scottsun | xis | Low-level skills | Throwing / Catching | TossingBot: Learning to Throw Arbitrary Objects | 5 | ||||||||||||||||||||||
14 | 7 | Feb 11 | Paper 1 | 0.9 | scottsun | xis | Low-level skills | Grasping | 6-DOF GraspNet: Variational Grasp Generation for Object Manipulation | 6 | ||||||||||||||||||||||
15 | 7 | Feb 11 | Paper 2 | 0.9 | kgoshvad | tweng | Low-level skills | Grasping | Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping | 6 | ||||||||||||||||||||||
16 | 8 | Feb 13 | Paper 1 | 0.74 | jielinq | haithanp | Low-level skills | Grasping | Multi-Modal Geometric Learning for Grasping and Manipulation | 7 | ||||||||||||||||||||||
17 | 8 | Feb 13 | Paper 2 | 0.74 | yiheh | adeka | Low-level skills | Grasping | MAT - Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning | 7 | ||||||||||||||||||||||
18 | 9 | Feb 18 | Paper 1 | 0.61 | dkv | hansk | Low-level skills | In-hand manipulation | Relaxed-Rigidity Constraints: In-Grasp Manipulation using Purely Kinematic Trajectory Optimization | 8 | ||||||||||||||||||||||
19 | 9 | Feb 18 | Paper 2 | 0.61 | adeka | vidhij | Low-level skills | In-hand manipulation | Deep Dynamics Models for Learning Dexterous Manipulation | 8 | ||||||||||||||||||||||
20 | 10 | Feb 20 | Paper 1 | 0.5 | jivasque | Low-level skills | In-hand manipulation | Extrinsic Dexterity: In-Hand Manipulation with External Forces | 9 | |||||||||||||||||||||||
21 | 10 | Feb 20 | Paper 2 | 0.5 | wenxuanz | Low-level skills | In-hand manipulation | Solving Rubik's Cube with a Robot Hand | 9 | |||||||||||||||||||||||
22 | 11 | Feb 25 | Paper 1 | 0.41 | apokle | giyer | Low-level skills | Sim2Real Transfer | Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience | 10 | ||||||||||||||||||||||
23 | 11 | Feb 25 | Paper 2 | 0.41 | yeehos | wenxuanz | Low-level skills | Sim2Real Transfer | Learning Agile and Dynamic Motor Skills for Legged Robots | 10 | ||||||||||||||||||||||
24 | 12 | Feb 27 | Paper 1 | 0.33 | haithanp | jivasque | Low-level skills | Sim2Real Transfer | TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer | 11 | ||||||||||||||||||||||
25 | 12 | Feb 27 | Paper 2 | 0.33 | wenxuanz | yufeiw2 | Low-level skills | Sim2Real Transfer | Learning Locomotion Skills for Cassie: Iterative Design and Sim-to-Real | 11 | ||||||||||||||||||||||
26 | 13 | March 3 | Paper 1 | 0.27 | scottsun | xis | Low-level skills | Sim2Real Transfer | Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties | 12 | ||||||||||||||||||||||
27 | 13 | March 3 | Paper 2 | 0.27 | vdean | Low-level skills | Sim2Real Transfer | DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions | 12 | |||||||||||||||||||||||
28 | 14 | March 5 | Paper 1 | 0.22 | tweng | yufeiw2 | Low-level skills | Reward functions | Learning Robot Objectives from Physical Human Interaction | 13 | ||||||||||||||||||||||
29 | 14 | March 5 | Paper 2 | 0.22 | apokle | Low-level skills | Reward functions | Deep Reinforcement Learning from Human Preferences | 13 | |||||||||||||||||||||||
30 | March 10 | NO CLASS - Spring break | ||||||||||||||||||||||||||||||
31 | March 12 | NO CLASS - Spring break | ||||||||||||||||||||||||||||||
32 | March 17 | NO CLASS - all CMU classes cancelled | ||||||||||||||||||||||||||||||
33 | March 19 | Paper 1 | 0.18 | yiheh | hsikchi | High-level Reasoning | Autonomous Driving | ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst | 14 | |||||||||||||||||||||||
34 | March 19 | Paper 2 | 0.18 | jielinq | yeehos | High-level Reasoning | Autonomous Driving | Learning by Cheating | 14 | |||||||||||||||||||||||
35 | March 24 | Paper 1 | 0.15 | wenxuanz | vidhij | High-level Reasoning | Navigation | Learning over Subgoals for Efficient Navigation of Structured, Unknown Environments | 15 | |||||||||||||||||||||||
36 | March 24 | Paper 2 | 0.15 | haithanp | High-level Reasoning | Navigation | Visual Semantic Planning using Deep Successor Representations | 15 | ||||||||||||||||||||||||
37 | March 26 | Paper 1 | 0.12 | tweng | apokle | High-level Reasoning | Navigation | Efficient Trajectory Planning for High Speed Flight in Unknown Environments | 16 | |||||||||||||||||||||||
38 | March 26 | Paper 2 | 0.12 | yiheh | giyer | High-level Reasoning | Navigation | Visual Semantic Navigation using Scene Priors | 16 | |||||||||||||||||||||||
39 | March 31 | Paper 1 | 0.1 | hsikchi | High-level Reasoning | Safety | Safe Exploration for Interactive Machine Learning | 17 | ||||||||||||||||||||||||
40 | March 31 | Paper 2 | 0.1 | hsikchi | kgoshvad | High-level Reasoning | Safety | Safe Exploration in Continuous Action Spaces | 17 | |||||||||||||||||||||||
41 | April 2 | Paper 1 | 0.08 | jielinq | yeehos | High-level Reasoning | Multi-object Manipulation | Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration | 18 | |||||||||||||||||||||||
42 | April 2 | Paper 2 | 0.08 | xis | scottsun | High-level Reasoning | Multi-object Manipulation | Learning to Manipulate Object Collections Using Grounded State Representations | 18 | |||||||||||||||||||||||
43 | Friday April 3, 10 to 11:20 AM | Paper 1 | 0.07 | htung | kgoshvad | High-level Reasoning | Tool Use | KETO: Learning Keypoint Representations for Tool Manipulation | 19 | |||||||||||||||||||||||
44 | Friday April 3, 10 to 11:20 AM | Paper 2 | 0.07 | tweng | jielinq | High-level Reasoning | Tool Use | Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight | 19 | |||||||||||||||||||||||
45 | April 7 | Paper 1 | 0.05 | yufeiw2 | High-level Reasoning | Long-horizon tasks / Reasoning / Planning | Dream to Control: Learning Behaviors by Latent Imagination | 20 | ||||||||||||||||||||||||
46 | April 7 | Paper 2 | 0.05 | htung | giyer | High-level Reasoning | Long-horizon tasks / Reasoning / Planning | Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning | 20 | |||||||||||||||||||||||
47 | April 9 | NO CLASS - Rescheduled for April 3 | ||||||||||||||||||||||||||||||
48 | April 14 | Guest Lecture - Professor Changliu Liu | ||||||||||||||||||||||||||||||
49 | April 16 | Paper 1 | 0.04 | kgoshvad | yeehos | High-level Reasoning | Long-horizon tasks / Reasoning / Planning | Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning | 21 | |||||||||||||||||||||||
50 | April 16 | Paper 2 | 0.04 | apokle | jivasque | High-level Reasoning | Long-horizon tasks / Reasoning / Planning | Learning Robotic Manipulation through Visual Planning and Acting | 21 | |||||||||||||||||||||||
51 | April 21 | Guest Lecture - Chris Atkeson | ||||||||||||||||||||||||||||||
52 | April 23 | Class Summary (no reading but we will be discussing take-away lessons from the course) | ||||||||||||||||||||||||||||||
53 | April 28 | Final Project Presentations | ||||||||||||||||||||||||||||||
54 | April 30 | Final Project Presentations | ||||||||||||||||||||||||||||||
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