fix bib file for syntactical errors

Author: Animesh Garg

_bibliography/pair.bib

@@ -1275,9 +1275,9 @@ @inproceedings{wang2023mvtrans
   website= {https://ac-rad.github.io/MVTrans/},
   video={https://youtu.be/8Qdc_xWVp-k},
   preview={mvtrans-icra23.jpg},
+  keywords={transparent object perception, laboratory automation,, pose estimation},
+  tags={Computer Vision, Robotics},
   description={MVTrans is an end-to-end multi-view architecture with multiple perception capabilities, including depth estimation, segmentation, and pose estimation. We also present a procedural photo-realistic large-scale transparent object detection dataset, Syn-TODD.}
-  keywords={transparent object perception, laboratory automation,, pose estimation}
-  tags={Computer Vision, Robotics}
 }
 
 @inproceedings{wu2023slotdiffusion,
@@ -1419,7 +1419,7 @@ @inproceedings{mu2024adademo
   preview={adademo-24.jpg}
 }
 
-@inproceedings{mu2024adademo,
+@inproceedings{srinivasan2024dexmots,
   title={DexMOTS: Dexterous Manipulation with Differentiable Simulation},
   author={Krishnan Srinivasan and Jeremy Collins and Eric Heiden and Ian Ng and Jeannette Bohg and Animesh Garg},
   arXiv={2404.07428},
@@ -1550,7 +1550,7 @@ @inproceedings{wilcox2025adapt3radaptive3dscene
   tags={Computer Vision, Manpiulation},
 }
 
-@inproceedings{wilcox2025adapt3radaptive3dscene,
+@inproceedings{wang2025topocut,
   title={TopoCut: Learning Multi-Step Cutting with Spectral Rewards and Discrete Diffusion Policies}, 
   author={Liquan Wang and Jiangjie Bian and Eric Heiden and Animesh Garg},
   booktitle={Conference on Robot Learning (CoRL)},
@@ -1810,7 +1810,7 @@ @article{yoshikawa2023large
   tags={Robotics},
 }
 
-@article{singh2023progprompt,
+@article{auro-progprompt,
   title={ProgPrompt: program generation for situated robot task planning using large language models},
   author={Singh, Ishika and Blukis, Valts and Mousavian, Arsalan and Goyal, Ankit and Xu, Danfei and Tremblay, Jonathan and Fox, Dieter and Thomason, Jesse and Garg, Animesh},
   journal={Autonomous Robots (AURO)},
@@ -1865,7 +1865,7 @@ @article{darvish2025organa
   video={https://www.youtube.com/watch?v=N6qMMwJ8hKQ},
   preview={organa-2025.jpg},
   keywords={Self-Driving Labs, laboratory automation, Agentic Planning},
-  tags={Manpiulation},
+  tags={Manpiulation}
 }
 
 @article{cooper2025accelerating,
@@ -1877,7 +1877,7 @@ @article{cooper2025accelerating
   year={2025},
   preview={ac-icra24.jpg},
   keywords={Self-Driving Labs, laboratory automation},
-  tags={Robotics},
+  tags={Robotics}
 }
 
 @article{amato2025data,
@@ -2050,9 +2050,9 @@ @techreport{yoshikawa2022adaptive
   website = {https://ac-rad.github.io/robot-chemist-tamp/},
   video={https://youtu.be/NjpZmaKQWls},
   preview={chemrobot-arxiv22.gif},
-  description={We propose a framework for robots to assist chemists by performing lab experiments autonomously. The solution allows a general-purpose robot to perform diverse chemistry experiments and efficiently make use of available lab tools. }
   keywords={laboratory automation, task and motion planning, chemistry robotics},
   tags={Manpiulation},
+  description={We propose a framework for robots to assist chemists by performing lab experiments autonomously. The solution allows a general-purpose robot to perform diverse chemistry experiments and efficiently make use of available lab tools. }
 }
 
 @techreport{skreta2023errors,
@@ -2064,8 +2064,8 @@ @techreport{skreta2023errors
   website= {https://ac-rad.github.io/clairify/},
   video={https://youtu.be/-87yrXytluw},
   preview={clairify-iros23.gif},
-  description={CLAIRify is a novel approach that combines automatic iterative prompting in LLMs with program verification to ensure programs written in domain-specific languages are syntactically valid and incorporate environment constraints.}
   keywords={LLMs, program synthesis, program verification, laboratory automation},
+  description={CLAIRify is a novel approach that combines automatic iterative prompting in LLMs with program verification to ensure programs written in domain-specific languages are syntactically valid and incorporate environment constraints.}
 }
 
 @techreport{devaguptapu2023deltanetworks,