Some minor changes

Author: tayalmanan28

_data/people.yml

@@ -67,19 +67,27 @@ vjoshi:
     role: staff
 
 
-
 # Intern 
-raviagrawal:
-    display_name: "Ravi Agrawal"
-    webpage: "https://www.linkedin.com/in/ravi--agrawal/"
+deepakkapa:
+    display_name: "Deepak Kapa"
+    webpage: "https://www.linkedin.com/in/deepak-kapa-iitr26/"
+    role: intern
+
+prashamchedda:
+    display_name: "Prasham Chedda"
+    webpage: "https://www.linkedin.com/in/prashamchheda/"
+    role: intern
+
+mehulanand:
+    display_name: "Mehul Anand"
+    webpage: "https://www.linkedin.com/in/mehul-anand-7954b1250/"
     role: intern
 
 adityakurande:
     display_name: "Aditya Kurande"
     webpage: "https://www.linkedin.com/in/aditya-kurande-15a644254/"
     role: fellow
 
-
 devchandbothra:
     display_name: "Devchand Bothra"
     webpage: "https://www.linkedin.com/in/devchandbothra/"
@@ -123,20 +131,20 @@ ishita:
     bio: M.Tech. RAS (Sponsered student from ISRO)
 
 adit:
-    display_name: 'Adith Muralidharan'
+    display_name: "Adith Muralidharan"
     role: masters
     webpage: "https://www.linkedin.com/in/adith-m-dharan/"
     image: /img/people/adith_m.jpeg
     bio: M.Tech. RAS
 
 ganganair:
-    display_name: 'Ganga Nair'
+    display_name: "Ganga Nair"
     webpage: "https://www.linkedin.com/in/ganga-nair-8b9014186"
     role: masters
     bio: M.Tech. RAS
 
 pranavtiwari:
-    display_name: 'Pranav Tiwari'
+    display_name: "Pranav Tiwari"
     webpage: "https://pranavtiwari.co.in/"
     role: masters
     bio: M.Tech. RAS
@@ -317,11 +325,6 @@ amitsawant:
     image: /img/people/Amit_Sawant.jpg
     role: intern-alum
 
-prayujs:
-    display_name: "Prayuj Sachdev"
-    webpage: "https://www.linkedin.com/in/prayuj-sachdev-4522541ba/"
-    role: intern-alum
-
 mjavale:
     display_name: "Mohit Javale"
     webpage: "https://sites.google.com/view/mohitjavale"
@@ -351,11 +354,6 @@ ravikola:
     role: intern-alum
     webpage: "https://in.linkedin.com/in/ravi-kola-561144157"
 
-vedvyas:
-    display_name: "Vedvyas Danturi"
-    role: intern-alum
-    webpage: "https://www.linkedin.com/in/vedvyas-danturi"
-
 sreehari:
     display_name: "Sreehari Acharaya"
     role: intern-alum
@@ -366,17 +364,6 @@ raghav:
     webpage: "https://www.linkedin.com/in/raghav-soni-0932b71b7/"
     role: intern-alum
     image: /img/people/raghav.jpg
-    
-mkoothoor:
-    display_name: "Marck Koothoor"
-    role: intern-alum
-    webpage: "https://in.linkedin.com/in/marck-koothoor"
-
-toshan:
-    display_name: "Toshan Luktuke"
-    role: intern-alum
-    webpage: "https://in.linkedin.com/in/toshan-luktuke-63ba7b1b8"
-
 
 shashankram:
     display_name: "Shashank Ramesh"
@@ -492,19 +479,19 @@ shishir:
     bio: Assistant Professor, CSA & CPS, IISc
 
 # Collaborators
-pushpak:
-    display_name: "Pushpak Jagtap"
-    webpage: "https://www.pushpakjagtap.com/"
+ames:
+    display_name: "Aaron Ames"
+    webpage: "http://ames.caltech.edu/"
     role: collaborator
-    image: /img/people/pushpak.jpg
-    bio: Assistant Professor, CPS, IISc
+    image: /img/people/ames.jpg
+    bio: Bren Professor, ME & CDS, Caltech
 
-jishnu:
-    display_name: "Jishnu Keshavan"
-    webpage: "https://mecheng.iisc.ac.in/people/jishnu-keshavan/"
+somilbansal:
+    display_name: "Somil Bansal"
+    webpage: ""
     role: collaborator
-    image: /img/people/jishnu.jpg
-    bio: Assistant Professor, ME, IISc
+    image: /img/people/somil bansal.jpg
+    bio: Assistant Professor, AA, Stanford
 
 ayonga:
     display_name: "Ayonga Hereid"
@@ -520,20 +507,20 @@ andrewclark:
     image: /img/people/clark.jpg
     bio: Associate Professor, ESE, WUSTL
 
+pushpak:
+    display_name: "Pushpak Jagtap"
+    webpage: "https://www.pushpakjagtap.com/"
+    role: collaborator
+    image: /img/people/pushpak.jpg
+    bio: Assistant Professor, CPS, IISc
+
 # majidkhadiv:
 #     display_name: "Majid Khadiv"
 #     webpage: "https://www.ce.cit.tum.de/en/aipd/members/majid-khadiv/"
 #     role: collaborator
 #     image: /img/people/majid_khadiv.jpeg
 #     bio: Assistant Professor, CIT, TUM
 
-somilbansal:
-    display_name: "Somil Bansal"
-    webpage: ""
-    role: collaborator
-    image: /img/people/somil bansal.jpg
-    bio: Assistant Professor, AA, Stanford
-
 debasish:
     display_name: "Debasish Ghose"
     webpage: "https://aero.iisc.ac.in/people/debasish-ghose/"
@@ -555,12 +542,12 @@ shalabh:
     image: /img/people/shalabh.jpg
     bio: Professor, CSA, IISc
 
-ames:
-    display_name: "Aaron Ames"
-    webpage: "http://ames.caltech.edu/"
+jishnu:
+    display_name: "Jishnu Keshavan"
+    webpage: "https://mecheng.iisc.ac.in/people/jishnu-keshavan/"
     role: collaborator
-    image: /img/people/ames.jpg
-    bio: Bren Professor, ME & CDS, Caltech
+    image: /img/people/jishnu.jpg
+    bio: Assistant Professor, ME, IISc
 
 ashishj:
     display_name: "Ashish Joglekar"

_data/pubs.yml

@@ -368,7 +368,7 @@
 
 - title: "A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems"
   authors: [Manan Tayal*, Aditya Singh*, Shishir Kolathaya, Somil Bansal]
-  date: 2025-02-20
+  date: 2025-07-15
   pub-type: conference
   publisher: "International Conference on Machine Learning (ICML) 2025, Vancouver, Canada"
   pdf: Piml_co_opt.pdf
@@ -387,16 +387,32 @@
   date: 2025-02-20
   pub-type: preprint
   publisher: "Pre-print"
-  pdf: https://www.stochlab.com/MULE/
+  pdf: https://arxiv.org/pdf/2505.00488
   projects: [MULE]
 
 - title: "A Chain-Driven, Sandwich-Legged Quadruped Robot: Design and Experimental Analysis"
   authors: [Aman Singh, Bhavya Giri Goswami, Ketan Nehete, Shishir N. Y. Kolathaya]
-  date: 2025-03-18
+  date: 2025-07-03
   pub-type: conference
   publisher: "7th International Conference of Advances In Robotics (AIR) 2025"
   pdf: https://arxiv.org/pdf/2503.14255
-  projects: [Quadruped]
+  projects: [CodesignOptimization]
+
+- title: "Co-Design of Link lengths and Control for High Vertical Jumping in a Monoped"
+  authors: [Aastha Mishra, Aman Singh, Shishir N. Y. Kolathaya]
+  date: 2025-07-03
+  pub-type: conference
+  publisher: "7th International Conference of Advances In Robotics (AIR) 2025"
+  pdf: https://arxiv.org/pdf/2503.14255
+  projects: [CodesignOptimization]
+
+- title: "Comparison between External and Internal Single Stage Planetary gearbox actuators for legged robots"
+  authors: [Aman Singh, Deepak Kapa, Prasham Chedda, Shishir N. Y. Kolathaya]
+  date: 2025-07-03
+  pub-type: conference
+  publisher: "7th International Conference of Advances In Robotics (AIR) 2025"
+  pdf: https://arxiv.org/pdf/2503.14255
+  projects: [CodesignOptimization]
 
 - title: "CP-NCBF: A Conformal Prediction-based Approach to Synthesize Verified Neural Control Barrier Functions"
   authors: [Manan Tayal*, Aditya Singh*, Pushpak Jagtap, Shishir Kolathaya]

_projects/ConformalPrediction.md

@@ -0,0 +1,31 @@
+---
+title: 'Co-Optimizing Safety and Performance for Autonomous Systems'
+
+description: |
+  A physics informed machine learning framework for safe & optimal control of Autonomous Systems using Conformal Prediction.
+
+people:
+  - manan
+  - adityasingh
+  - shishir
+  - somilbansal
+
+layout: project
+image: "/img/phys_ml_safe_opt.png"
+last-updated: 2025-02-16
+
+---
+
+<br>
+
+### Abstract
+
+As autonomous systems become more ubiquitous in daily life, ensuring high performance with guaranteed safety is crucial. However, safety and performance could be competing objectives, which makes their co-optimization difficult. 
+Learning-based methods, such as Constrained Reinforcement Learning (CRL), achieve strong performance but lack formal safety guarantees due to safety being enforced as soft constraints, limiting their use in safety-critical settings. Conversely, formal methods such as Hamilton-Jacobi (HJ) Reachability Analysis and Control Barrier Functions (CBFs) provide rigorous safety assurances but often neglect performance, resulting in overly conservative controllers. 
+To bridge this gap, we formulate the co-optimization of safety and performance as a state-constrained optimal control problem, where performance objectives are encoded via a cost function and safety requirements are imposed as state constraints. 
+We demonstrate that the resultant value function satisfies a Hamilton-Jacobi-Bellman (HJB) equation, which we approximate efficiently using a novel physics-informed machine learning framework.
+In addition, we introduce a conformal prediction-based verification strategy to quantify the learning errors, recovering a high-confidence safety value function, along with a probabilistic error bound on performance degradation. 
+Through several case studies, we demonstrate the efficacy of the proposed framework in enabling scalable learning of safe and performant controllers for complex, high-dimensional autonomous systems.
+
+<br>
+